Relevant bibliographies by topics / Privacy for smart workplaces

Academic literature on the topic 'Privacy for smart workplaces'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Privacy for smart workplaces"

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Lemos, Janaína, Pedro D. Gaspar, and Tânia M. Lima. "Environmental Risk Assessment and Management in Industry 4.0: A Review of Technologies and Trends." Machines 10, no. 8 (August 17, 2022): 702. http://dx.doi.org/10.3390/machines10080702.

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In recent decades, concern with workers’ health has become a priority in several countries, but statistics still show that it is urgent to perform more actions to prevent accidents and illnesses related to work. Industry 4.0 is a new production paradigm that has brought significant advances in the relationship between man and machine, driving a series of advances in the production process and new challenges in occupational safety and health (OSH). This paper addresses occupational risks, diseases, opportunities, and challenges in Industry 4.0. It also covers Internet-of-Things-related technologies that, by the real-time measurement and analysis of occupational conditions, can be used to create smart solutions to contribute to reducing the number of workplace accidents and for the promotion of healthier and safer workplaces. Proposals involving smart personal protective equipment (smart PPE) and monitoring systems are analyzed, and aspects regarding the use of artificial intelligence and the data privacy concerns are also discussed.
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Chigona, W. "Synchronised smart phones: The collision of personal privacy and organisational data security." South African Journal of Business Management 43, no. 2 (June 29, 2012): 31–40. http://dx.doi.org/10.4102/sajbm.v43i2.181.

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The purpose of this study was to explore the organisational and individual motivations for incorporating personally-owned smart phones into the workplace and challenges arising from use; privacy and data security concerns of involved parties in the organisation. This study uses exploratory case study method and investigates privacy and security regarding personally-owned smart-phone usage in workplace. The study found that convenience, ease of use and access to emails were motives behind employees’ use of personal smart phones in the workplace. Further, employees have higher privacy expectation. Sample for this study was small to provide statistically meaningful results, Further research is needed to cover a larger case study spanning multiple organisations in other sectors. Mobile devices are creating challenges to organisational data security and employees’ right to information privacy. This study suggests that organisations need to reconsider data security and employees’ privacy policies to address possible conflict between data security and employees’ privacy.
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Princi, Evgenia, and Nicole C. Krämer. "Acceptance of Smart Electronic Monitoring at Work as a Result of a Privacy Calculus Decision." Informatics 6, no. 3 (September 10, 2019): 40. http://dx.doi.org/10.3390/informatics6030040.

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Smart technology in the area of the Internet of Things (IoT) that extensively gathers user data in order to provide full functioning has become ubiquitous in our everyday life. At the workplace, individual’s privacy is especially threatened by the deployment of smart monitoring technology due to unbalanced power relations. In this work we argue that employees’ acceptance of smart monitoring systems can be predicted based on privacy calculus considerations and trust. Therefore, in an online experiment (N = 661) we examined employees’ acceptance of a smart emergency detection system, depending on the rescue value of the system and whether the system’s tracking is privacy-invading or privacy-preserving. We hypothesized that trust in the employer, perceived benefits and risks serve as predictors of system acceptance. Moreover, the moderating effect of privacy concerns is analyzed.
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A.Nagavardhan N.Dinesh, M.Gopla D Anirudh, Polaiah Bojja, Pamula Raja Kumari,. "Development of Solar-Powered of Sensors Based Smart Waste Monitoring System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 5 (April 11, 2021): 580–86. http://dx.doi.org/10.17762/turcomat.v12i5.1056.

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Dustbins (or Garbage Bins, Trash Cans, whatever you name them) are small containers of plastic or metal used on a temporary basis to store trash (or waste). They are also used for the collection of waste in houses, workplaces, highways, parks, etc. Littering is a major crime in some countries, and public waste bins are also the only way to dispose of small waste. Usually, using different bins for handling wet or dry, recyclable or non-recyclable waste is a common practice. From an ETS perspective, smart waste collection can help municipalities and private waste management companies avoid the need for collection sites, waste disposal facilities and waste treatment plants. As communities increasingly rely on smart city technology to improve, among other things, the quality of life of their residents and the environment, city leaders recognize that smart waste management can also help them achieve sustainability goals such as zero waste and improve services to residents, while improving service to residents. As an example, Development of Some solar-powered bins and recycling bins are already equipped with sensors that analyze data on what is disposed of or recycled and notify collectors when the bin is too full and needs to be picked up. These developed Smart waste management solutions use sensors placed in waste bins to measure levels, notify municipal waste collection services, when the bins are ready to be emptied, and also notify municipal waste collection with a ton has been emptied. Therefore, the solar-powered of sensors based smart waste monitoring system is more and more useful to the current smart cities policies under the smart city project works.
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Madden, Andrew D., Sophie Rutter, Catherine Stones, and Wenbo Ai. "Smart Hand Sanitisers in the Workplace: A Survey of Attitudes towards an Internet of Things Technology." International Journal of Environmental Research and Public Health 19, no. 15 (August 3, 2022): 9531. http://dx.doi.org/10.3390/ijerph19159531.

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An online survey was circulated to employees from a wide range of organisations to gauge attitudes towards the idea of using smart hand sanitisers in the workplace. The sanitisers are capable of real-time monitoring and providing feedback that varies according to the hand hygiene behaviour of users. In certain circumstances, the sanitisers can monitor individuals, making it possible to identify workers whose hand hygiene falls below a certain standard. The survey was circulated between July and August 2021 during the COVID-19 pandemic. Data gathered from 314 respondents indicated support for some features of the technology, but also indicated concern about invasions of privacy and the possibility of coercion. Attitudes towards the possible implementation of the technology varied significantly according to certain characteristics of the sample, but particularly with age. Respondents above the median age were more likely to support the use of data in ways that could facilitate the promotion and enforcement of hand hygiene practices.
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Sen, Volkan, Ozgu Aydogdu, Tarik Yonguc, Ibrahim Halil Bozkurt, and Deniz Bolat. "Telerounding & telementoring for urological procedures." Archivio Italiano di Urologia e Andrologia 88, no. 3 (October 5, 2016): 206. http://dx.doi.org/10.4081/aiua.2016.3.206.

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Telemedicine is the use of medical information exchanged from one site to another via electronic communications to improve a patient’s clinical health status. Telemedicine includes a growing variety of applications and services using two-way video, email, smart phones, wireless tools and other forms of telecommunications technology. Starting out over forty years ago with demonstrations of hospitals extending care to patients in remote areas, the use of telemedicine has spread rapidly and is now becoming integrated into the ongoing operations of hospitals, specialty departments, home health agencies, private physician offices as well as consumer’s homes and workplaces. There’s also a current trend in the use of telemedicine in urology. In the present paper we aimed to review the recent literature about telemedicine and the use of telerounding and telementoring in urological procedures.
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Cooper, Peter Benjamin, Konstantinos Maraslis, Theo Tryfonas, and George Oikonomou. "An intelligent hot-desking model harnessing the power of occupancy sensing data." Facilities 35, no. 13/14 (October 3, 2017): 766–86. http://dx.doi.org/10.1108/f-01-2016-0014.

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Purpose The purpose of this paper is to develop a model to harness occupancy sensing in a commercial hot-desking environment. Hot-desking is a method of office resource management designed to reduce the real estate costs of professional practices. However, the shortcoming is often in the suitability and appropriateness of allocated work environments. The Internet of Things could produce new data sets in the office at a resolution, speed and validity of which that they could be factored into desk-allocation, distributing seats based on appropriate noise levels, stay length, equipment requirements, previous presence and proximity to others working on the same project, among many others. Design/methodology/approach The study utilises primary data from a commercial office environment in Central London (numerical building system data and semi-structured interviews) to feed a discrete events simulator. To test the hypothesis, the authors look at the potential for intelligent hot-desking to use “work type” data to improve the distribution of individuals in the office, increasing productivity through the creation of positive “work type environments” – where those working on specific tasks perform better when grouped with others doing the same task. The simulation runs for a typical work day, and the authors compare the intelligent hot-desking arrangement to a base case. Findings The study shows that sensor data can be used for desk allocation in a hot-desking environment utilising activity-based working, with results that outweigh the costs of occupancy detection. The authors are not only able to optimise desk utilisation based on quality occupancy data but also demonstrate how overall productivity increases as individuals are allocated desks of their preference as much as possible among other enabling optimisations that can be applied. Moreover, the authors explore how an increase in occupancy data collection in the private sector could have key advantages for the business as an organization and the city as a whole. Research limitations/implications The research explores only one possible incarnation of intelligent hot-desking, and the authors presume that all data have already been collected, and while not insurmountable, they do not discuss the technical or cultural difficulties to this end. Furthermore, final examination of the productivity benefit – because of the difficulty in defining and measuring the concept – is exploratory rather than definitive. This research suggests that not only human-centric smart building research should be prioritised over energy or space-based themes but also large-scale private sector collection of occupancy data may be imminent, and its potential should be examined. Practical implications Findings strongly suggest that the hot-desking may cost more in lost productivity than it gains in reduced rental costs and as such many commercial offices should revaluate the transition, particularly with a view to facilitate intelligent hot-desking. Companies should begin to think strategically about the wider benefits of collecting occupancy data across their real estate portfolio, rather than reviewing use cases in silos. Finally, cities should consider scenarios of widespread collection of occupancy data in the private sector, examining the value these data have to city systems such as transport, and how the city might procure it for these ends. Social implications This paper raises positive and negative social concerns. The value in occupancy data suggested herein, bringing with it the implication it should be collected en mass, has a noted concern that this brings privacy concerns. As such, policy and regulation should heed that current standards should be reviewed to ensure they are sufficient to protect those in offices from being unfairly discriminated, spied or exploited through occupancy data. However, the improved use of occupancy data improving workplaces could indeed make them more enjoyable places to work, and have the potential to become a staple in company’s corporate social responsibility policies. Originality/value This paper fulfils an identified need for better understanding the specific uses of occupancy data in the smart building mantra. Several sources suggest the current research focus on energy and rental costs is misguided when the holistic cost of an office is considered, and concepts related to staff – although less understood – may have an order of magnitude bigger impact. This research supports this hypothesis through the example of intelligent hot-desking. The value of this paper lies in redirecting industry and research towards the considering occupancy data in smart building uses cases including – but not limited to– intelligent hot-desking.
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Jabłońska, Joanna. "Urban Noise Pollution Prevention — Tokyo Case Study." Polish Political Science Review 8, no. 2 (December 1, 2020): 101–9. http://dx.doi.org/10.2478/ppsr-2020-0018.

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AbstractNowadays most of the world’s metropolises, cities, and conglomerations are substantially contaminated by noise. Development of civilization based on the intensification of car, rail, and air traffic, an increase of building density and, consequently, green areas reduction has led to major problems. Highlighting this negative phenomenon was one of the main objectives of this article. The process of noise pollution reduction is hindered not only by the needs of population growth, but also in a number of selected cities of the United States, Europe or Asia — aggressive sounds together with light and visual communications — emitted into public space, become an important element of commercial activities and remain a permanent, and even desirable, element of community culture and entertainment. The outlined problems are referred to in the introduction and discussion parts of this manuscript. At the same time, there are a number of solutions, both those currently applied and those possible to be introduced into the space of cities, which allow reduction of noise in selected zones of public and private sectors. One of the examples in the discussed field of science and practice is Tokyo — a multi-million metropolis, in which residents can experience silence both in workplaces, on streets and at home, despite the extraordinary civilization development of this metropolitan structure. Outcome analysis of solutions, used in the example city, forms the second part of the discussion in the article. Nowadays, when cities of the world are polluted with unwanted sounds, this case study is valuable, allowing the formulation of a set of clear recommendations for noise limitation in urban spaces — which are presented in the conclusions of the article. It is also worth mentioning that the spread of smart and humanized solutions aimed at noise reduction is crucial in order to build user- and environment-friendly urban environments in the near future.
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S. Alotaibi, Leena, and Sultan S. Alshamrani. "Smart Contract: Security and Privacy." Computer Systems Science and Engineering 38, no. 1 (2021): 93–101. http://dx.doi.org/10.32604/csse.2021.015547.

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van Zoonen, Liesbet. "Privacy concerns in smart cities." Government Information Quarterly 33, no. 3 (July 2016): 472–80. http://dx.doi.org/10.1016/j.giq.2016.06.004.

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Dissertations / Theses on the topic "Privacy for smart workplaces"

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Shirima, Emil. "Privacy Aware Smart Surveillance." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1563281303729063.

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Batistic, Kristina. "Privacy in Smart Parking." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-272998.

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The master thesis project will analyze the smart parking solution used in Frederiksberg municipality, focusing on privacy aspects in different data use cases. The current use case will be analyzed with the focus on its privacy aspects. Frederiksberg municipality is using a camera mounted on a car that records parked cars to check whether parking fee has been paid or not. The system recognizes the license plate out of the picture and checks in the system whether the parking for that license plate has been paid or not if it has not been paid it notifies the parking guard to go to the parked car and hand out a parking ticket. Since the license plate is considered personal data, this system has to follow the legal and other obligations for the handling of personal data, i.e., the new European General Data Protection Regulation. Frederiksberg municipality is also considering using data for secondary purposes, such as parking statistics, input for future regulation, analysis to improve the parking system or even making the data public. This thesis will analyze possible secondary use cases and their privacy impacts and recomn measures. The goal is to protect citizens privacy while providing with the best possible service.
Examensarbetet kommer att analysera den smarta parkeringslösningen som används i Frederiksbergs kommun med fokus på sekretessaspekter i olika fall för dataanvändning. Det aktuella användningsfallet kommer att analyseras med fokus på dess integritetsaspekter. Frederiksberg kommun använder en kamera monterad på en bil som registrerar parkerade bilar för att kontrollera om parkeringsavgiften har betalats eller inte. Systemet känner igen registreringsskylten ur bilden och kontrollerar i systemet om parkeringen för den typskylten har betalats eller inte om den inte har betalats, meddelar parkeringsvakten att gå till den parkerade bilen och dela ut en parkeringsbiljett. Eftersom licensskylten betraktas som personuppgifter måste detta system följa de lagliga och andra skyldigheterna för hantering av personuppgifter, dvs. den nya förordningen om europeisk allmän dataskydd. Frederiksberg kommun överväger också att använda data för sekundära ändamål, som parkeringsstatistik, input för framtida reglering, analys för att förbättra parkeringssystemet eller till och med offentliggöra uppgifterna. Denna avhandling kommer att analysera eventuella fall av sekundär användning och deras inverkan på sekretess och rekommendera skyddsåtgärder. Målet skydda medborgarnas integritet samtidigt som de ger bästa möjliga service.
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Mao, Congcong. "Privacy Issues in IoT : Privacy concerns in smart home." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-90587.

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In a world of the Internet of Things, smart home has shown a great potency and trend. A smart home is a convenient home setup where appliances and devices can be automatically controlled remotely from any internet-connected place in the world using a mobile or other networked device. Smart home has changed the way the residents interacted with their home and realised more convenience. Although this technology also has positive impact on saving energy and resources, privacy issues in it have shown to one of the biggest obstacles to the adaption of this technology. The purpose of this thesis is to study smart home users’ perceptions of smart homes and their privacy awareness and concerns. The research was conducted through interviews and followed an interpretive research paradigm and a qualitative research approach. In this study, 5 smart home owners were interviewed to investigate their reasons for purchasing IoT devices, their perceptions of smart home privacy risks, and actions to protect their privacy, as well as managing IoT devices and/or its data. The research results show that there are privacy risks existing in smart homes. Consumers’ privacy data is collected secretly, which needs to be controlled, and privacy issues have to be addressed in the near future for the smart home to be fully adopted by the society.
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Misagh, Mohammadhadi. "Promoting Privacy in Smart Space." Thesis, KTH, Kommunikationsnät, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-137111.

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The Smart Metering Systems are state of the art technologies and modern services integratedwith legacy metering systems. These systems are one of the most important parts of smart grids.Smart Grids are electrical power infrastructures that make intelligent decisions about the state ofthe electrical power devices. Smart Grids provide a stable electrical power environment. SmartGrids support all functionalities of traditional power systems in addition a Smart Grid bears newfunctionalities of intelligent power systems e.g. self-healing, resisting to attacks, increasingpower quality, motivating consumers to wisely use the electricity, enabling new business toelectrical markets, optimizing assets and operating efficiently and accommodating all generationand storages options. A smart home is usually a modern home that is equipped with some specialstructured wiring or wireless systems to enable inhabitants to remotely control or program any ofhome electronic devices supporting specific types of control functionalities by entering a singlecommand at their remote computer or smart phones. Privacy in smart spaces/environments is notonly confidentiality of data /connections but is the management of the complication of theseenvironments due to decentralised and dynamic nature of these spaces. General model of smarthome and smart metering systems have their specific considerations e.g. assumptions, threats,countermeasures and privacy preserving model. Both security architectures have their specificsecurity policies, considerations, authorization and authentication authorities, and encryption anddecryption strategies. Running two different security architectures in parallel may raise someissues, threats and considerations that are the main purpose of this thesis project. So, theprinciple goal of this research project is to define the secure model of collaboration between twodifferent security architectures in the smart space in which general smart home networkarchitecture is established in parallel to smart metering system architecture. Federatedauthentication systems e.g. SAML and OAuth, OpenID and federated authorization systems likeXACML are most common distributed standard protocols to manage distributed securitysystems. This thesis investigates issues and problems of two parallel security architectures andproposes a secure communication protocol in addition to a proof-of-concept of the final solution.All of most famous available protocols for authentication and authorization will be discussed andfinally will be implemented as a proof of concept. Encryption and decryption as basic securityfunctions is not considered in this project and will be postponed as a future work around thisresearch project.
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Giaconi, Giulio. "Information-theoretic privacy in smart meters." Thesis, Imperial College London, 2018. http://hdl.handle.net/10044/1/62630.

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Smart grids promise to enhance drastically the efficiency of today's power networks. One of the key components of smart grids is the smart meter, which allows to monitor a user's electricity consumption with much higher resolution compared to conventional energy meters. However, the high resolution of smart meter measurements also entails serious privacy implications for the users, as it makes easier to distinguish the power signature of single appliances from the aggregate household consumption. This would lead an attacker, which may be a thief, a surveillance agency, or the utility provider itself, to gain insights into users' activities and behaviors. In this dissertation we analyze several privacy-preserving techniques that protect users' privacy without diminishing the utility of smart grids. We adopt physical resources that are increasingly available at the users' premises, such as renewable energy sources and rechargeable batteries, and use them to minimize the information leaked about a user's electricity consumption, as well as the cost of energy. We deploy information-theoretic tools to characterize the fundamental limits of smart meter privacy, measuring privacy via mutual information, and characterizing single-letter expressions for the information leaked when considering infinite and zero-capacity rechargeable batteries. These scenarios represent lower and upper bounds on the privacy performance of more realistic settings with finite-capacity rechargeable batteries. When considering a finite-capacity battery, we express the information leakage as an additive quantity, and cast the problem as a stochastic control problem, which can be solved by dynamic programming. We also propose more empirical privacy-preserving strategies, testing their performance against real smart meter measurements and time of use pricing tariffs. In particular, we measure privacy as the squared difference between the smart meter measurements and a target profile, which we consider as a completely private power profile, and characterize the optimal trade-off between privacy and cost of energy.
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Mustafa, Mustafa Asan. "Smart Grid security : protecting users' privacy in smart grid applications." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/smart-grid-security-protecting-users-privacy-in-smart-grid-applications(565d4c36-8c83-4848-a142-a6ff70868d93).html.

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Smart Grid (SG) is an electrical grid enhanced with information and communication technology capabilities, so it can support two-way electricity and communication flows among various entities in the grid. The aim of SG is to make the electricity industry operate more efficiently and to provide electricity in a more secure, reliable and sustainable manner. Automated Meter Reading (AMR) and Smart Electric Vehicle (SEV) charging are two SG applications tipped to play a major role in achieving this aim. The AMR application allows different SG entities to collect users’ fine-grained metering data measured by users’ Smart Meters (SMs). The SEV charging application allows EVs’ charging parameters to be changed depending on the grid’s state in return for incentives for the EV owners. However, both applications impose risks on users’ privacy. Entities having access to users’ fine-grained metering data may use such data to infer individual users’ personal habits. In addition, users’ private information such as users’/EVs’ identities and charging locations could be exposed when EVs are charged. Entities may use such information to learn users’ whereabouts, thus breach their privacy. This thesis proposes secure and user privacy-preserving protocols to support AMR and SEV charging in an efficient, scalable and cost-effective manner. First, it investigates both applications. For AMR, (1) it specifies an extensive set of functional requirements taking into account the way liberalised electricity markets work and the interests of all SG entities, (2) it performs a comprehensive threat analysis, based on which, (3) it specifies security and privacy requirements, and (4) it proposes to divide users’ data into two types: operational data (used for grid management) and accountable data (used for billing). For SEV charging, (1) it specifies two modes of charging: price-driven mode and price-control-driven mode, and (2) it analyses two use-cases: price-driven roaming SEV charging at home location and price-control-driven roaming SEV charging at home location, by performing threat analysis and specifying sets of functional, security and privacy requirements for each of the two cases. Second, it proposes a novel Decentralized, Efficient, Privacy-preserving and Selective Aggregation (DEP2SA) protocol to allow SG entities to collect users’ fine-grained operational metering data while preserving users’ privacy. DEP2SA uses the homomorphic Paillier cryptosystem to ensure the confidentiality of the metering data during their transit and data aggregation process. To preserve users’ privacy with minimum performance penalty, users’ metering data are classified and aggregated accordingly by their respective local gateways based on the users’ locations and their contracted suppliers. In this way, authorised SG entities can only receive the aggregated data of users they have contracts with. DEP2SA has been analysed in terms of security, computational and communication overheads, and the results show that it is more secure, efficient and scalable as compared with related work. Third, it proposes a novel suite of five protocols to allow (1) suppliers to collect users accountable metering data, and (2) users (i) to access, manage and control their own metering data and (ii) to switch between electricity tariffs and suppliers, in an efficient and scalable manner. The main ideas are: (i) each SM to have a register, named accounting register, dedicated only for storing the user’s accountable data, (ii) this register is updated by design at a low frequency, (iii) the user’s supplier has unlimited access to this register, and (iv) the user cancustomise how often this register is updated with new data. The suite has been analysed in terms of security, computational and communication overheads. Fourth, it proposes a novel protocol, known as Roaming Electric Vehicle Charging and Billing, an Anonymous Multi-User (REVCBAMU) protocol, to support the priced-driven roaming SEV charging at home location. During a charging session, a roaming EV user uses a pseudonym of the EV (known only to the user’s contracted supplier) which is anonymously signed by the user’s private key. This protocol protects the user’s identity privacy from other suppliers as well as the user’s privacy of location from its own supplier. Further, it allows the user’s contracted supplier to authenticate the EV and the user. Using two-factor authentication approach a multi-user EV charging is supported and different legitimate EV users (e.g., family members) can be held accountable for their charging sessions. With each charging session, the EV uses a different pseudonym which prevents adversaries from linking the different charging sessions of the same EV. On an application level, REVCBAMU supports fair user billing, i.e., each user pays only for his/her own energy consumption, and an open EV marketplace in which EV users can safely choose among different remote host suppliers. The protocol has been analysed in terms of security and computational overheads.
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Musalam, Dina, and Paulina Nicodemus. "Security and Privacy methods in Smart Home: Case Study in Smart Meters." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20273.

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Homes with integrated state of the art technology are considered Smart Homes. A smart home has special systems which enable remote control via remote computer or smart phones. These modern integrated services are supported by electrical power infrastructures called Smart Grids, which provides a stable electrical power environment to support all functionalities, with intelligent power systems that provide increased power quality. Inside a Smart home, a legacy metering system called Smart Meters are installed offering new functionalities such as remote readings of power consumption, and different time usage of tariffs.Preliminary research has already indicated vulnerability attacks on smart meters which affect the security and privacy in smart meters. Security issues in this system include vulnerabilities and privacy issues includes information leakage in real-time consumption data that is recorded by the smart meters.Enhancing both security and privacy in the smart meters are the main purpose of this thesis. The principle goal of this research is to provide more understanding about the smart meters from a security and privacy perspective. This thesis investigates issues and problems in smart meters and proposes a secure communication protocol in the application layer, in addition to a proof-of-concept of the final solution. In this research we introduce the solution by means of two scenarios, we highlight the effects of an attack on the smart meters on levels of simulation and theory. The first scenario is to "take control over the smart meter to access the data consumptions in the smart meters". The proposed solution of using the Smart Phone as a third part to protect the smart meters has been evaluated using a network simulation tool. The result shows that the data captured by attacking node is encrypted and can't be used for any useful operation. In the second scenario, "monitoring the data consumptions to harm the user's privacy", in other words, stealing the user's devices. The proposed solution is using the home electrical power routing to moderate the home's load signature in order to hide appliance usage information. Data clusters are implemented as a proof of concept to evaluate the data. The results show that there is only 99.5 % correct clustered data with good quality.
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Fong, Michael Chih Huong. "A privacy-preserving authentication protocol for smart tags." [Ames, Iowa : Iowa State University], 2010. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1476293.

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Bergquist, Jonatan. "Blockchain Technology and Smart Contracts: Privacy-preserving Tools." Thesis, Uppsala universitet, Avdelningen för datalogi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-323826.

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The purpose of this Master's thesis is to explore blockchain technology and smart contracts as a way of building privacy-sensitive applications. The main focus is on a medication plan containing prescriptions, built on a blockchain system of smart contracts. This is an example use case, but the results can be transferred to other ones where sensitive data is being shared and a proof of validity or authentication is needed. First the problem is presented, why medication plans are in need of digitalisation and why blockchain technology is a fitting technology for implementing such an application. Then blockchain technology is explained, since it is a very new and relatively unfamiliar IT construct. Thereafter, a design is proposed for solving the problem. A system of smart contracts was built to prove how such an application can be built, and suggested guidelines for how a blockchain system should be designed to fulfil the requirements that were defined. Finally, a discussion is held regarding the applicability of different blockchain designs to the problem of privacy-handling applications.
Syftet med detta examensarbete är att utforska blockkedje teknologi och s.k. smarta kontrakt för att bygga applikationer där känslig information hanteras. Huvudsakligen ligger fokus på att utveckla en struktur baserad på blockkedje teknologi och smarta kontrakt för en medikationsplan. Detta är ett typ-exempel för att visa hur en sådan applikation kan byggas, men resultaten kan överföras till andra områden där känslig data delas mellan parter, eller där ett bevis för korrekthet krävs. Först presenteras problemet, varför medikationsplaner behöver digitaliseras och varför blockkedje teknologi är väl anpassat för att implementera en sådan applikation. Sedan förklaras blockkedje teknologi något djupare i detalj, eftersom det är ett relativt nytt koncept. Därefter föreslås en design för att lösa problemet.  Ett system av smarta kontrakt är byggt för att visa hur en medikationsplan kan byggas, och riktlinjer ges för hur ett blockkedje system bör se ut för att stödja systemet av smarta kontrakt. Till slut hålls en kortare diskussion om hur olika blockkedje-designer kan användas för att appliceras på problemet med känslig information.

Presentation held externally at Technical University Munich on the 29-5-2017 10.50.

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Lundgren, Tony, and Wenjia Xu. "Evaluation of Privacy-Preserving Methods for Smart Grids." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-200607.

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Books on the topic "Privacy for smart workplaces"

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Krishnan, Sandeep K. Employee privacy at workplaces: Some pertinent issues. Ahmedabad: Indian Institute of Management, 2006.

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Christine, Hertzog, ed. Data privacy for the smart grid. Boca Raton: CRC Press, Taylor & Francis Group, 2015.

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Boroojeni, Kianoosh G., M. Hadi Amini, and S. S. Iyengar. Smart Grids: Security and Privacy Issues. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45050-6.

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Abdallah, Asmaa, and Xuemin Shen. Security and Privacy in Smart Grid. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93677-2.

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Wright, Tom. Smart cards. [Toronto, Ont: Information and Privacy Commissioner/Ontario, 1993.

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Kayem, Anne V. D. M., Stephen D. Wolthusen, and Christoph Meinel, eds. Smart Micro-Grid Systems Security and Privacy. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91427-5.

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Hansen, Marit, Eleni Kosta, Igor Nai-Fovino, and Simone Fischer-Hübner, eds. Privacy and Identity Management. The Smart Revolution. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92925-5.

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A smart kid's guide to Internet privacy. New York: PowerKids Press, 2010.

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Jiang, Richard, Ahmed Bouridane, Chang-Tsun Li, Danny Crookes, Said Boussakta, Feng Hao, and Eran A. Edirisinghe, eds. Big Data Privacy and Security in Smart Cities. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04424-3.

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Borges de Oliveira, Fábio. On Privacy-Preserving Protocols for Smart Metering Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-40718-0.

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Book chapters on the topic "Privacy for smart workplaces"

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Richter, Alexander, Patrick Kühtreiber, and Delphine Reinhardt. "Enhanced Privacy in Smart Workplaces: Employees’ Preferences for Transparency Indicators and Control Interactions in the Case of Data Collection with Smart Watches." In ICT Systems Security and Privacy Protection, 34–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06975-8_3.

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Mikulecky, Peter. "User Adaptivity in Smart Workplaces." In Intelligent Information and Database Systems, 401–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28490-8_42.

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Preto, Sandra, and Cristina Caramelo Gomes. "Three Times Smart – Smart Workplaces, Smart Lighting & Smart Glass." In Advances in Intelligent Systems and Computing, 435–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60525-8_45.

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Erdemir, Ecenaz, Deniz Gündüz, and Pier Luigi Dragotti. "Smart Meter Privacy." In Privacy in Dynamical Systems, 19–41. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0493-8_2.

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Evans, Leighton. "The privacy parenthesis." In Creating Smart Cities, 194–204. Abingdon, Oxon ; New York, NY : Routledge, 2019. |Series: Regions and cities ; volume 131: Routledge, 2018. http://dx.doi.org/10.4324/9781351182409-15.

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Michéle, Benjamin. "Security & Privacy Implications." In Smart TV Security, 81–92. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20994-4_4.

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Hoque, Shahidul, Aneel Rahim, and Francesco Di Cerbo. "Smart Grid Data Anonymization for Smart Grid Privacy." In Cyber Security and Privacy, 89–96. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12574-9_8.

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Rial, Alfredo, and George Danezis. "Privacy-Preserving Smart Metering." In ISSE 2012 Securing Electronic Business Processes, 105–15. Wiesbaden: Springer Fachmedien Wiesbaden, 2012. http://dx.doi.org/10.1007/978-3-658-00333-3_11.

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Dabrowski, Adrian, Katharina Krombholz, Edgar R. Weippl, and Isao Echizen. "Smart Privacy Visor: Bridging the Privacy Gap." In Business Information Systems Workshops, 235–47. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26762-3_21.

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McMillin, Bruce, and Thomas Roth. "Privacy." In Cyber-Physical Security and Privacy in the Electric Smart Grid, 27–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02353-8_5.

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Conference papers on the topic "Privacy for smart workplaces"

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Nelson, Elizabeth C., Heather E. Wray, and Nicholas C. White. "The future of work, workplaces and smart buildings." In BuildSys '22: The 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3563357.3566136.

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Campos, Pedro F., Arminda Lopes, Torkil Clemmensen, and Jose Abdelnour-Nocera. "Human work interaction design for pervasive and smart workplaces." In NordiCHI '14: The 8th Nordic Conference on Human-Computer Interaction. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2639189.2654838.

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Mohora, Irina, Anamaria Andreea Anghel, and Flaviu Mihai Frigura-Ilias. "Smart solutions for adaptive workplaces. Architectural and technological applications." In 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2019. http://dx.doi.org/10.1109/eeeic.2019.8783874.

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Rajagopalan, S. Raj, Lalitha Sankar, Soheil Mohajer, and H. Vincent Poor. "Smart meter privacy: A utility-privacy framework." In 2011 IEEE Second International Conference on Smart Grid Communications (SmartGridComm). IEEE, 2011. http://dx.doi.org/10.1109/smartgridcomm.2011.6102315.

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Rinner, Bernhard, and Thomas Winkler. "Privacy-protecting Smart Cameras." In the International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2659021.2659044.

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Armac, Ibrahim, Andriy Panchenko, Marcel Pettau, and Daniel Retkowitz. "Privacy-Friendly Smart Environments." In 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST). IEEE, 2009. http://dx.doi.org/10.1109/ngmast.2009.23.

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Rial, Alfredo, and George Danezis. "Privacy-preserving smart metering." In the 10th annual ACM workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2046556.2046564.

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Tucker, Nathaniel, Gustavo Cezar, and Mahnoosh Alizadeh. "Real-Time Electric Vehicle Smart Charging at Workplaces: A Real-World Case Study." In 2022 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2022. http://dx.doi.org/10.1109/pesgm48719.2022.9917194.

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Mimo, Edgard Musafiri, and Troy McDaniel. "3D Privacy Framework: The Citizen Value Driven Privacy Framework." In 2021 IEEE International Smart Cities Conference (ISC2). IEEE, 2021. http://dx.doi.org/10.1109/isc253183.2021.9562841.

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Kokciyan, Nadin, and Pinar Yolum. "Privacy management for smart cities." In 2017 25th Signal Processing and Communications Applications Conference (SIU). IEEE, 2017. http://dx.doi.org/10.1109/siu.2017.7960351.

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Reports on the topic "Privacy for smart workplaces"

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Haney, Julie M., Susanne M. Furman, and Yasemin Acar. Research Report: User Perceptions of Smart Home Privacy and Security. National Institute of Standards and Technology, November 2020. http://dx.doi.org/10.6028/nist.ir.8330.

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Gupte, Jaideep, Sarath MG Babu, Debjani Ghosh, Eric Kasper, and Priyanka Mehra. Smart Cities and COVID-19: Implications for Data Ecosystems from Lessons Learned in India. Institute of Development Studies (IDS), March 2021. http://dx.doi.org/10.19088/sshap.2021.034.

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This brief distils best data practice recommendations through consideration of key issues involved in the use of technology for surveillance, fact-checking and coordinated control during crisis or emergency response in resource constrained urban contexts. We draw lessons from how data enabled technologies were used in urban COVID-19 response, as well as how standard implementation procedures were affected by the pandemic. Disease control is a long-standing consideration in building smart city architecture, while humanitarian actions are increasingly digitised. However, there are competing city visions being employed in COVID-19 response. This is symptomatic of a broader range of tech-based responses in other humanitarian contexts. These visions range from aspirations for technology driven, centralised and surveillance oriented urban regimes, to ‘frugal innovations’ by firms, consumers and city governments. Data ecosystems are not immune from gendered- and socio-political discrimination, and technology-based interventions can worsen existing inequalities, particularly in emergencies. Technology driven public health (PH) interventions thus raise concerns about 1) what types of technologies are appropriate, 2) whether they produce inclusive outcomes for economically and socially disadvantaged urban residents and 3) the balance between surveillance and control on one hand, and privacy and citizen autonomy on the other.
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Gupte, Jaideep, Sarath MG Babu, Debjani Ghosh, Eric Kasper, Priyanka Mehra, and Asif Raza. Smart Cities and COVID-19: Implications for Data Ecosystems from Lessons Learned in India. Institute of Development Studies, March 2022. http://dx.doi.org/10.19088/sshap.2022.004.

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This brief distils best data practice recommendations through consideration of key issues involved in the use of technology for surveillance, fact-checking and coordinated control during crisis or emergency response in resource constrained urban contexts. We draw lessons from how data enabled technologies were used in urban COVID-19 response, as well as how standard implementation procedures were affected by the pandemic. Disease control is a long-standing consideration in building smart city architecture, while humanitarian actions are increasingly digitised. However, there are competing city visions being employed in COVID-19 response. This is symptomatic of a broader range of tech-based responses in other humanitarian contexts. These visions range from aspirations for technology driven, centralised and surveillance oriented urban regimes, to ‘frugal innovations’ by firms, consumers and city governments. Data ecosystems are not immune from gendered- and socio-political discrimination, and technology-based interventions can worsen existing inequalities, particularly in emergencies. Technology driven public health (PH) interventions thus raise concerns about 1) what types of technologies are appropriate, 2) whether they produce inclusive outcomes for economically and socially disadvantaged urban residents and 3) the balance between surveillance and control on one hand, and privacy and citizen autonomy on the other.
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Gupte, Jaideep, Sarath MG Babu, Debjani Ghosh, Eric Kasper, Priyanka Mehra, and Asif Raza. Smart Cities and COVID-19: Implications for Data Ecosystems from Lessons Learned in India. SSHAP, March 2021. http://dx.doi.org/10.19088/sshap.2021.012.

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This brief distils best data practice recommendations through consideration of key issues involved in the use of technology for surveillance, fact-checking and coordinated control during crisis or emergency response in resource constrained urban contexts. We draw lessons from how data enabled technologies were used in urban COVID-19 response, as well as how standard implementation procedures were affected by the pandemic. Disease control is a long-standing consideration in building smart city architecture, while humanitarian actions are increasingly digitised. However, there are competing city visions being employed in COVID-19 response. This is symptomatic of a broader range of tech-based responses in other humanitarian contexts. These visions range from aspirations for technology driven, centralised and surveillance oriented urban regimes, to ‘frugal innovations’ by firms, consumers and city governments. Data ecosystems are not immune from gendered- and socio-political discrimination, and technology-based interventions can worsen existing inequalities, particularly in emergencies. Technology driven public health (PH) interventions thus raise concerns about 1) what types of technologies are appropriate, 2) whether they produce inclusive outcomes for economically and socially disadvantaged urban residents and 3) the balance between surveillance and control on one hand, and privacy and citizen autonomy on the other.
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