Teses / dissertações sobre o tema "Decentralized data management"
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Essilfie-Conduah, Nana S. M. Massachusetts Institute of Technology. "A systems analysis of insider data exfiltration : a decentralized framework for disincentivizing and auditing data exfiltration". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122440.
Texto completo da fonteCataloged from PDF version of thesis.
Includes bibliographical references (pages 105-110).
It has become common place to hear of data breaches. Typically, we hear of external hackers as the perpetrators, however, the reality is there is a high frequency of threats from insiders within an organization and that the cost and challenge in detecting these threats is considerable. The issue has affected companies in multiple private sectors (finance, retail) and the public sector is also at risk as apparent with the Edward Snowden and Chelsea Manning cases. This thesis explores the current space of insider threats in terms of frequency, cost and complexity in attack assessment. It also explores the multiple perspectives and stakeholders that make up the complex insider threat systems. Insights from multiple insider threat cases as well as subject matter experts in cyber security were used to model and pinpoint the high value metrics around access management and logging that will aid audit efforts. Following this an exploration of kill chains, blockchain technology and hierarchical organization exploration is made. Research findings highlight the wide reach of excessive privileges and the crucial role resource access and event logging of stakeholder actions plays in the success of insider threat prevention. In response to this finding a proposal is made for a combined solution that aims to provide an easy and accessible interface for searching and requesting access to resources that scales with an organization. This proposal suggests the capitalization of the transparent and immutable properties of blockchain to ledger the requesting and approval of file access through dynamic and multi user approval logic. The solution combines simplistic file-based resource access in an accessible manner with a multi layered security approach that adds further hurdles for bad actors but provides a visible and reliable look back on an immutable audit path.
by Nana Essilfie-Conduah.
S.M. in Engineering and Management
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
Hull, R. "Decentralized resource and data management in a fault tolerant distributed computer system". Thesis, University of Sussex, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356505.
Texto completo da fonteFleming, Theodor. "Decentralized Identity Management for a Maritime Digital Infrastructure : With focus on usability and data integrity". Thesis, Linköpings universitet, Programvara och system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155115.
Texto completo da fonteWang, Mianyu Kam Moshe Kandasamy Nagarajan. "A decentralized control and optimization framework for autonomic performance management of web-server systems /". Philadelphia, Pa. : Drexel University, 2007. http://hdl.handle.net/1860/2643.
Texto completo da fontePonnakanti, Hari Priya. "A Hyperledger based Secure Data Management and Disease Diagnosis Framework Design for Healthcare". University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627662565879478.
Texto completo da fonteDiallo, El-hacen. "Study and Design of Blockchain-based Decentralized Road Traffic Data Management in VANET (Vehicular Ad hoc NETworks)". Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG017.
Texto completo da fonteThe prominence of autonomous vehicles has imposed the need for more secure road traffic data (i.e., events related to accidents, traffic state, attack report, etc.) management in VANET (Vehicular Ad hoc NETworks). Traditional centralized systems address this need by leveraging remote servers far from the vehicles. That is not an optimal solution as road traffic data must be distributed and securely cached close to cars to enhance performance and reduce bandwidth overhead. Blockchain technology offers a promising solution thanks to its decentralization property. But some questions remain unanswered: how to design blockchain-adapted traffic data validation, which is more complex than an economic transaction? What is the performance in real-world VANET scenarios?This thesis addresses those questions by designing blockchain-adapted traffic data management. The performance analysis and the validation of the proposed schemes are conducted through various simulations of real scenarios.We first adapt the PoW (Proof of Work) consensus mechanism to the VANET context whereby the RSUs (Road Side Units) maintain the decentralized database of road traffic data. After that, the proposed scheme is evaluated in the presence of malicious vehicles. The results show that the proposed approach enables a secure and decentralized database of road traffic data at the RSUs level.Next, motivated by our findings, we adopt PBFT (Practical Byzantine Fault Tolerance), a voting-based consensus mechanism, to reduce the blockchain latency. The traffic data validators are dynamically selected based on traffic event appearance location. Finally, we propose a novel blockchain replication scheme between RSUs. This scheme offers a trade-off between the blockchain latency and replication frequency. Simulation results show better performance when the validators (i.e., RSUs) are minimized.Finally, we propose a trust model to minimize the validators without compromising the decentralization and fairness of block-creation. This trust model leverages the geographical distance and the RSUs trust to dynamically form a group of validators for each block in the blockchain. We formalize and evaluate this trust model, considering various scenarios with malicious RSUs. Results show the efficiency of the proposed model to minimize the validators group while isolating malicious RSUs
Bögels, Machteld. "Digital Waste : ELIMINATING NON-VALUE ADDING ACTIVITIES THROUGH DECENTRALIZED APPLICATION DEVELOPMENT". Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263903.
Texto completo da fonteI en tid där nätverk av sammankopplade enheter expanderar snabbt, är det svårt för organisationer att anpassa sig till den allt mer datoriserade och dynamiska miljön och samtidigt förbli konkurrenskraftiga. Anställda upplever att mycket av deras tid och resurser spenderas på repetitiva, ineffektiva och vardagliga uppgifter. Lean manufacturing har visat sig vara ett välkänt optimeringskoncept, dock har informationshantering och avlägsnande av slöseri inte ännu nått sin fulla potential eftersom dess direkta värde är svårare att se och räkna. En fallstudie genomfördes för att definiera vilka typer av icke-värdeskapande aktiviteter som kan identifieras inom informationsflöden och för att avgöra om decentraliserad applikationsutveckling kan eliminera detta digitala slöseri. Ett internt informationsflöde modellerades, analyserades och optimerades genom att utveckla anpassade applikationer på Microsoft Power Platform. Baserat på litteratur från tillverknings- och mjukvaruutvecklingsområdet utvecklades en ram för att kategorisera digitalt slöseri samt högre grundorsaker när det gäller affärsstrategi och ITinfrastruktur. Medan decentraliserad apputveckling ger möjlighet att avsevärt minska det operativa digitala slöseriet på ett förenklat sätt, så kan det också möjliggöra onödig expansion av en gemensam datamodell och kräver hantering av livscykelanalyser samt kantsäkerhet för att säkerställa datahantering och styrning. Trots begränsad till en fallstudie, så kan det föreslagna ramverket ge insikter till organisationer som syftar till att optimera interna arbetsflöden genom att identifiera och eliminera digitalt slöseri och dess grundläggande orsaker.
Mehra, Varun S. M. Massachusetts Institute of Technology. "Optimal sizing of solar and battery assets in decentralized micro-grids with demand-side management". Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108959.
Texto completo da fonteThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 199-209).
Solar-based community micro-grids and individual home systems have been recognized as key enablers of electricity provision to the over one billion people living without energy access to-date. Despite significant cost reductions in solar panels, these options can still be cost-prohibitive mainly due over-sizing of generation assets corresponding with a lack of ability to actively manage electricity demand. The main contribution shared is the methodology and optimization approach of least-cost combinations of generation asset sizes, in solar panels and batteries, subject to meeting reliability constraints; these results are based on a techno-economic modeling approach constructed for assessing decentralized micro-grids with demand-side management capabilities. The software model constructed is implemented to represent the technical characteristics of a low-voltage, direct current network architecture and computational capabilities of a power management device. The main use-case of the model presented is based on serving representative, aggregated, household-level load profiles combined with simulated power output from solar photovoltaic modules and the kinetic operating constraints of lead-acid batteries at hourly timesteps over year-long simulations. The state-space for solutions is based on available solar module and battery capacities from distributors in Jharkhand, India. Additional work presented also extends to real-time operation of such isolated micro-grids with requisite local computation. First, for load disaggregation and forecasting purposes, clustering algorithms and statistical learning techniques are applied on quantitative results from inferred load profiles based on data logged from off-grid solar home systems. Second, results from an optimization approach to accurately parametrize a lead-acid battery model for potential usage in real-time field implementation are also shared. Economic results, sensitivity analyses around key technical and financial input assumptions, and comparisons in cost reductions due to the optimization of solar and battery assets for decentralized micro-grids with demand-side management capabilities are subsequently presented. The work concludes with insights and policy implications on establishing differentiated willingness-to-pay, tiers of service, and dynamic price-setting in advanced micro-grids.
by Varun Mehra.
S.M. in Technology and Policy
S.M.
Rodriguez, German Darío Rivas. "Decentralized Architecture for Load Balancing in District Heating Systems". Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3329.
Texto completo da fonte(+46) 709706206
Ribe-Baumann, Elizabeth [Verfasser], Kai-Uwe [Akademischer Betreuer] Sattler, Jochen [Akademischer Betreuer] Seitz e Manfred [Akademischer Betreuer] Hauswirth. "Resource and Location Aware Robust Decentralized Data Management / Elizabeth Ribe-Baumann. Gutachter: Jochen Seitz ; Manfred Hauswirth. Betreuer: Kai-Uwe Sattler". Ilmenau : Universitätsbibliothek Ilmenau, 2015. http://d-nb.info/1074139607/34.
Texto completo da fonteRibe-Baumann, Liz [Verfasser], Kai-Uwe [Akademischer Betreuer] Sattler, Jochen [Akademischer Betreuer] Seitz e Manfred [Akademischer Betreuer] Hauswirth. "Resource and Location Aware Robust Decentralized Data Management / Elizabeth Ribe-Baumann. Gutachter: Jochen Seitz ; Manfred Hauswirth. Betreuer: Kai-Uwe Sattler". Ilmenau : Universitätsbibliothek Ilmenau, 2015. http://d-nb.info/1074139607/34.
Texto completo da fonteSchanzenbach, Martin [Verfasser], Claudia [Akademischer Betreuer] Eckert, Georg [Gutachter] Carle e Claudia [Gutachter] Eckert. "Towards Self-sovereign, decentralized personal data sharing and identity management / Martin Schanzenbach ; Gutachter: Georg Carle, Claudia Eckert ; Betreuer: Claudia Eckert". München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1225479959/34.
Texto completo da fonteNicolae, Bogdan. "BlobSeer : towards efficient data storage management for large-scale, distributed systems". Phd thesis, Université Rennes 1, 2010. http://tel.archives-ouvertes.fr/tel-00552271.
Texto completo da fonteNicolae, Bogdan. "BlobSeer : towards efficient data storage management for large-scale, distributed systems". Phd thesis, Rennes 1, 2010. http://www.theses.fr/2010REN1S123.
Texto completo da fonteAvec des volumes de données en forte augmentation et l'émergence d'infrastructures avec un fort passage à l'échelle (cloud computing, calcul petascale), une gestion distribuée des données devient un problème crucial qui présente plusieurs challenges. Cette thèse apporte plusieurs contributions afin de résoudre ces challenges. Premièrement, elle propose un ensemble de principes permettant de concevoir des systèmes de stockage distribués passant largement à l'échelle et optimisés pour des accès sous forte concurrence. En particulier, ellemet en évidence les avantages liés à l'utilisation du versionnement dans ce contexte. Ensuite, fondé sur ces principes, elle introduit un ensemble d'algorithmes de gestion distribuée de données et méta-données qui permettent un débit d'accès important sous haute concurrence. Enfin, elle montre comment mettre en oeuvre de façon efficace ces algorithmes, en résolvant des problèmes pratiques. Ces résultats sont utilisés pour construire BlobSeer, un prototype expérimental utilisé pour démontrer les avantages théoriques de cette approche dans des tests synthétiques, ansi que ses avantages pratiques dans des applications réelles: système de stockage pour applications MapReduce, système de stockage pour déployer et sauvegarder des images de machines virtuelles dans les clouds, et service de stockage de données pour des applications sur les clouds. Des analyses approfondies sur la plate-forme d'expérimentation Grid'5000 démontrent que BlobSeer passe largement à l'échelle et soutient un débit d'accès important même sous haute concurrence, dépassant d'une large marge plusieurs approches de l'état de l'art courant
Dufour, Luc. "Contribution à la mise au point d'un pilotage énergétique décentralisé par prédiction". Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2017. http://www.theses.fr/2017EMAC0004/document.
Texto completo da fonteThis work presents a data-intensive solution to manage energy flux after a low transformer voltage named microgrid concept. A microgrid is an aggregation of building with a decentralized energy production and or not a storage system. These microgrid can be aggregate to create an intelligent virtual power plant. However, many problems must be resolved to increase the part of these microgrid and the renewable resource in a energy mix. The physic model can not integrate and resolve in a short time the quickly variations. The intelligent district can be integrate a part of flexibility in their production with a storage system. This storage can be electrical with a battery or thermal with the heating and the hot water. For a virtual power plant, the system can be autonomous when the price electricity prediction is low and increase the production provided on the market when the price electricity is high. For a energy supplier and with a decentralized production building distant of a low transformer voltage, a regulation with a storage capacity enable a tension regulation. Finally, the auto-consumption becomes more and more interesting combined with a low electrical storage price and the result of the COP 21 in Paris engage the different country towards the energy transition. In these cases, a flexibility is crucial at the building level but this flexibility is possible if, and only if, the locally prediction are correct to manage the energy. The main novelties of our approach is to provide an easy implemented and flexible solution to predict the consumption and the production at the building level based on the machine learning technique and tested on the real use cases in a residential and tertiary sector. A new evaluation of the consumption is realized: the point of view is energy and not only electrical. The energy consumption is decomposed between the heating consumption, the hot water consumption and the electrical devices consumption. A prediction every hour is provided for the heating and the hot water consumption to estimate the thermal storage capacity. A characterization of Electrical devices consumption is realized by a non-intrusive disaggregation from the global load curve. The heating and the hot water are identify to provide a non intrusive methodology of prediction. Every day, the heating, the hot water, the household appliances, the cooling and the stand by are identified. Every 15 minutes, our software provide a hot water prediction, a heating prediction, a decentralized prediction and a characterization of the electrical consumption. A comparison with the different physic model simulated enable an error evaluation the error of our different implemented model
Utete, Simukai. "Network management in decentralised sensing systems". Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297308.
Texto completo da fonteKourtellis, Nicolas. "On the Design of Socially-Aware Distributed Systems". Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4107.
Texto completo da fonteDeaves, R. H. "The management of communications in decentralised Bayesian data fusion system". Thesis, University of Bristol, 1998. http://hdl.handle.net/1983/ae6cb4d5-96e8-4af4-90c0-fddb4f188369.
Texto completo da fonteJavet, Ludovic. "Privacy-preserving distributed queries compatible with opportunistic networks". Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPASG038.
Texto completo da fonteIn today's society, where IoT and digital platforms are transforming our daily lives, personal data is generated in profusion and its usage is often beyond our control. Recent legislations like the GDPR in Europe propose concrete solutions to regulate these new practices and protect our privacy. Meanwhile, on the technical side, new architectures are emerging to respond to this urgent need to reclaim our own personal data. This is the case of Personal Data Management Systems (PDMS) which offer a decentralized way to store and manage personal data, empowering individuals with greater control over their digital lives.This thesis explores the distributed use of these PDMS in an Opportunistic Network context, where messages are transferred from one device to another without the need for any infrastructure. The objective is to enable the implementation of complex processing crossing data from thousands of individuals, while guaranteeing the security and fault tolerance of the executions.The proposed approach leverages the Trusted Execution Environments to define a new computing paradigm, entitled Edgelet computing, that satisfies both validity, resiliency and privacy properties. Contributions include: (1) security mechanisms to protect executions from malicious attacks seeking to plunder personal data, (2) resiliency strategies to tolerate failures and message losses induced by the fully decentralized environment, (3) extensive validations and practical demonstrations of the proposed methods
Jaradat, Ward. "On the construction of decentralised service-oriented orchestration systems". Thesis, University of St Andrews, 2016. http://hdl.handle.net/10023/8036.
Texto completo da fonteYan, Jun, e jyan@it swin edu au. "A framework and coordination technologies for peer-to-peer based decentralised workflow systems". Swinburne University of Technology, 2004. http://adt.lib.swin.edu.au./public/adt-VSWT20050307.170020.
Texto completo da fonte