Literatura científica selecionada sobre o tema "Data protection"
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Artigos de revistas sobre o assunto "Data protection"
Gama, Cruz. "Data protection and personal data protection". Brazilian Journal of Clinical Medicine and Review 1, Suppl.1 (15 de abril de 2023): 18. http://dx.doi.org/10.52600/2965-0968.bjcmr.2023.1.suppl.1.18.
Texto completo da fonteChamberlain, Johanna, e Andreas Kotsios. "Data protection beyond data protection regulation". Stiftelsen Juridisk Fakultetslitteratur, n.º 2024 2 (17 de janeiro de 2024): 397–424. http://dx.doi.org/10.53292/bd1fa11c.282687ef.
Texto completo da fonteAlhababi, Hamad Hamed. "Cross-Border Data Transfer between the gcc Data Protection Laws and the gdpr". Global Journal of Comparative Law 13, n.º 2 (7 de agosto de 2024): 178–200. http://dx.doi.org/10.1163/2211906x-13020003.
Texto completo da fonteWalker-Osborn, C., L. Fitzsimons e J. Ruane. "Data Protection". ITNOW 55, n.º 3 (28 de agosto de 2013): 38–39. http://dx.doi.org/10.1093/itnow/bwt050.
Texto completo da fonteRowe, Heather, e Robin McGilligan. "DATA PROTECTION". Computer Law & Security Review 17, n.º 5 (setembro de 2001): 333–35. http://dx.doi.org/10.1016/s0267-3649(01)00511-8.
Texto completo da fonteDinant, Jean-Marc, e Ewout Keuleers. "Data protection". Computer Law & Security Review 20, n.º 1 (janeiro de 2004): 22–28. http://dx.doi.org/10.1016/s0267-3649(04)00005-6.
Texto completo da fonteChalton, Simon. "Data protection". Computer Law & Security Review 13, n.º 6 (novembro de 1997): 425–28. http://dx.doi.org/10.1016/s0267-3649(97)89792-0.
Texto completo da fonteSizer, Richard. "Data protection". Computer Law & Security Review 2, n.º 5 (janeiro de 1987): 13–15. http://dx.doi.org/10.1016/0267-3649(87)90007-0.
Texto completo da fonteReynolds, Chris. "Data protection". Computer Law & Security Review 5, n.º 6 (março de 1990): 19–22. http://dx.doi.org/10.1016/0267-3649(90)90059-k.
Texto completo da fonteClark, Robert. "Data protection". Computer Law & Security Review 6, n.º 6 (março de 1991): 16–19. http://dx.doi.org/10.1016/0267-3649(91)90172-r.
Texto completo da fonteTeses / dissertações sobre o assunto "Data protection"
Budd, Chris. "Data Protection and Data Elimination". International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596395.
Texto completo da fonteData security is becoming increasingly important in all areas of storage. The news services frequently have stories about lost or stolen storage devices and the panic it causes. Data security in an SSD usually involves two components: data protection and data elimination. Data protection includes passwords to protect against unauthorized access and encryption to protect against recovering data from the flash chips. Data elimination includes erasing the encryption key and erasing the flash. Telemetry applications frequently add requirements such as write protection, external erase triggers, and overwriting the flash after the erase. This presentation will review these data security features.
Sebé, Feixas Francesc. "Transparent Protection of Data". Doctoral thesis, Universitat Politècnica de Catalunya, 2003. http://hdl.handle.net/10803/7026.
Texto completo da fonteL'estudi es divideix tenint en compte els dos tipus de dades la protecció transparent de les quals s'estudia: continguts multimèdia i microdades estadístiques.
Pel que fa a dades multimèdia, es tracta la seva protecció des de dues vessants: la protecció del copyright i la protecció de la integritat i l'autentificació.
En comerç electrònic de continguts multimèdia, els comerciants venen dades a usuaris en qui no confien plenament i que és possible que en facin còpies il·legals. Aquest fet fa que sigui necessari protegir la propietat intel·lectual d'aquests productes.
Centrant-se en imatges digitals, es presenten diverses contribucions a les dues principals tècniques de protecció del copyright electrònic: marca d'aigua i empremta digital.
Concretament, pel que fa a marca d'aigua, es presenten dos nous esquemes per imatges digitals. El primer és semi-cec i robust contra atacs de compresió, filtratge i escalat. El segon és cec i robust contra atacs de compresió, filtratge, escalat i distorsió geomètrica moderada. Seguidament, es proposa una nova tècnica basada en mesclar objectes marcats que permet combinar i augmentar la robustesa de diferents esquemes de marca d'aigua actuals.
En empremta digital, es presenta una construcció per obtenir codis binaris segurs contra atacs de confabulació de fins a tres usuaris deshonestos. La proposta actual obté, per un nombre moderat de possibles compradors, paraules codi més curtes que les obtingudes fins al moment.
Freqüentment, els continguts multimèdia es publiquen en llocs de poca confiança on poden ser alterats. En aquestes situacions, la marca d'aigua es pot utilitzar per protegir dades proporcionant-los integritat i autenticació. Es demostra l'aplicabilitat de l'algorisme de marca d'aigua basat en expansió d'espectre en el domini espacial per proporcionar, de forma transparent, autenticació i integritat sense pèrdua a imatges digitals.
L'altre tipus de dades tractades en aquesta tesi són les microdades estadístiques.
Quan fitxers amb dades estadístiques que contenen informació sobre entitats individuals són lliurats per al seu estudi, és necessari protegir la privacitat d'aquestes entitats. Aquest tipus de dades s'han de lliurar de manera que es combini la utilitat estadística amb la protecció de la privacitat de les entitats afectades. Els mètodes per pertorbar dades amb aquest objectiu s'anomenen mètodes de control del risc de revelació estadística. En aquest camp, es proposa una modificació d'una mètrica existent per mesurar la pèrdua d'informació i el risc de revelació per tal que permeti avaluar mètodes que generen fitxers emmascarats amb un nombre de registres diferent a l'original.
Es proposa també un algorisme per post-processar fitxers de dades emmascarades per tal de reduir la pèrdua d'informació mantenint un risc de revelació similar. D'aquesta manera s'aconsegueix millorar els dos millors mètodes d'emmascarament actuals: 'microagregació multivariant' i 'intercanvi de rangs'.
Finalment, es presenta una nova aplicació per proporcionar accés multinivell a dades de precisió crítica. D'aquesta manera, les dades protegides es fan disponibles a diferents usuaris, que segons el seu nivell d'autorització, podran eliminar part de la protecció obtenint dades de millor qualitat.
This dissertation is about protection of data that have to be made available to possibly dishonest users. Data must be protected while keeping its usability. Such protection must be imperceptible, so as not to disrupt correct use of data, and effective against unauthorized uses.
The study is divided according to the two kinds of data whose transparent protection is studied: multimedia content and statistical microdata.
Regarding multimedia content, protection is addressed in two ways: 1)copyright protection; 2) integrity protection and authentication.
In electronic commerce of multimedia content, merchants sell data to untrusted buyers that may redistribute it. In this respect, intellectual property rights of content providers must be ensured.
Focusing on digital images, several contributions are presented on the two main electronic copyright protection techniques: watermarking and fingerprinting.
Two new schemes for watermarking for digital images are presented. The first is semi-public and robust against compression, filtering and scaling attacks. The second one is oblivious and robust against compression, filtering, scaling and moderate geometric distortion attacks. Next, a new technique based on mixture of watermarked digital objects is proposed that allows robustness to be increased by combining robustness properties of different current watermarking schemes.
In the field of fingerprinting, a new construction to obtain binary collusion-secure fingerprinting codes robust against collusions of up to three buyers is presented. This construction provides, for a moderate number of possible buyers, shorter codewords than those offered by current proposals.
Rather often, multimedia contents are published in untrusted sites where they may suffer malicious alterations. In this situation, watermarking can be applied to protecting data in order to provide integrity and authentication. A spatial-domain spread-spectrum watermarking algorithm is described and proven suitable for lossless image authentication.
The other kind of data addressed in this dissertation are statistical microdata.
When statistical files containing information about individual entities are released for public use, privacy is a major concern. Such data files must be released in a way that combines statistical utility and protection of the privacy of entities concerned. Methods to perturb data in this way are called statistical disclosure control methods. In this field, a modification to a current score to measure information loss and disclosure risk is proposed that allows masked data sets with a number of records not equal to the number of records of the original data set to be considered.
Next, a post-masking optimization procedure which reduces information loss while keeping disclosure risk approximately unchanged is proposed. Through this procedure, the two best performing masking methods are enhanced: 'multivariate microaggregation' and 'rankswapping'.
Finally, a novel application to providing multilevel access to precision-critical data is presented. In this way, protected data are made available to different users, who, depending on their clearance, can remove part of the noise introduced by protection, thus obtaining better data quality.
Loukides, Grigorios. "Data utility and privacy protection in data publishing". Thesis, Cardiff University, 2008. http://orca.cf.ac.uk/54743/.
Texto completo da fonteIslam, Naveed. "Cryptography based Visual Data Protection". Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20178/document.
Texto completo da fonteDue to the advancements in the information and communication technologies, the transmission of multimedia data over secure or insecure communication channels has increased exponentially. The security of data in applications like safe storage, authentications, copyright protection,remote military image communication or confidential video-conferencing require new strategies for secure transmission. Two techniques are commonly used for the secure transmission of visual data, i.e. cryptography and steganography. Cryptography achieves security by using secret keysto make the data illegible while steganography aims to hide the data in some innocent carrier signal. For shared trust and distributed environment, secret sharing schemes provide sufficient security in various communication applications. The principal objective of this thesis is to achieveprotection of visual data especially images through modern cryptographic techniques. In this context, the focus of the work in perspective, is twofolded. The first part of our work focuses on the security of image data in shared environment while the second part focuses on the integrity ofimage data in the encrypted domain during transmission.We proposed a new sharing scheme for images which exploits the additive and multiplicative homomorphic properties of two well known public key cryptosystems, namely, the RSA and the Paillier. In traditional secret sharing schemes, the dealer partitions the secret into shares and distributethe shares to each of the player. Thus, none of the involved players participate in the creation of the shared secret and there is always a possibilitythat the dealer can cheat some player. On the contrary, the proposed approach employs the secret sharing scheme in a way that limits the influence of the dealer over the protocol by allowing each player to participate. The second part of our thesis emphasizes on the integrity of visual data during transmission. Data integrity means that the data have its complete structure during any operation like storage, transfer or retrieval. A single bit change in encrypted data can have catastrophic impact over the decrypted data. We address the problem of error correction in images encrypted using symmetric key cryptosystem of the Advanced Encryption Standard (AES) algorithm. Three methods are proposed to exploit the local statistics of the visual data and the encryption algorithm to successfully correct the errors
Kasneci, Dede. "Data protection law: recent developments". Doctoral thesis, Università degli studi di Trieste, 2010. http://hdl.handle.net/10077/3578.
Texto completo da fontePrivacy and data protection concern everyone and are issue of profound importance around the World. Privacy has been hailed as “an integral part of our humanity” the “hart of our liberty” and “the beginning of all freedoms” (Solove, 2008). Given its importance, privacy is recognized as a fundamental human right according to many International Instruments such as: the United Nations Universal Declaration of Human Rights of 1948 (Article 12), International Covenant on the Civil and Political Rights (Article 17) The European Convention of Human Rights of 1950 (Article 8), the Charter of Fundamental Rights of the European Union of 2007 (Article 8) and the Treaty of Lisbon of 2008 (Article 16 of the TFEU). However, beyond this worldwide consensus about the importance of privacy and the need for its protection, there is difficulty to conceptualize the privacy. Privacy is a contested legal concept, with several understandings and more misunderstandings. Privacy is actually shorthand for a complex bundle of issues, ranging from dignity to discrimination, and rooted in our need to control what we tell others about ourselves. The main difficulty to reach a satisfying conceptualization of the privacy is that there are some eternal privacy tensions, namely, the interests protected by privacy and data protection laws are inherently in conflict with other legitimate interests such as the freedom of speech, public security and the free flow of information. While, it is impossible to belong to a community and withhold all data, the collection and the processing of our data carry with it many risks and dangers. One such risk is that the data will be abused by those who access it, either by authorization or not. Data which was consensually provided for one purpose might be used against us in a different context. Other privacy tensions are driven by technology which gave rise to the emergence of the data protection law: the falling cost of data storage and communication makes it easier for merchants and governments to collect more data on people and thus to become more efficient to violate the privacy. The development of the Computer technology in the 1960’s and 1970’s and the enormous potential of the digital revolution made the civil libertarians worry. The nightmare of all-seeing, all-knowing “Big Brother” of George Orwell’s “1984” did not belong anymore to the realm of the fiction, but was a reality. And as the enormous potential of the digital revolution became more apparent and together with it the dangers posed to privacy, so the calls for the specific measures to protect individuals became louder. The data protection rules originally developed, at national level in the 1970s, as a response to the threats posed to the privacy by the technological developments of the 1960s and 1970s. It emerged as a new legal field, separate from the privacy law but dependent upon it. The task of the personal data law is to provide a legal framework which is capable of reconciling the needs and interests of those who make use of personal data (data controllers or data processors) with those of persons to whom these data relate (data subjects). Europe has proven to be the leader in protecting privacy and personal data of the individuals in the digital age. At the EU level, the first legal instrument in this field was Data Protection Directive, which was passed in 1995 to harmonize national data protection laws within the European Community, with the aim of protecting the fundamental rights and freedoms of individuals including their privacy and personal data. After 15 years the question is whether the Data Protection Directive 95/46/EC fit the objectives for which it was adopted in 1995. The European Commission considers that the Directive 95/46/EC fulfils its original objectives and therefore does not need to be amended. This thesis questions this static approach of the European Commission to the data protection regime and argues that the increasing pressure on privacy due to the development of privacy destroying technologies and the growing use of and demand for personal information by public and private sectors, requires quick legal answer and constant change of the data protection legislation. The research carried out for this thesis shows that, over time the social and regulatory environment surrounding the creation, management and the use of personal data has evolved significantly since the adoption of the Directive 95/46/EC. The Directive is showing its age and is failing to meet the new challenges posed to privacy by factors such as the huge growth of personal information on line and the growing availability and ability of the new technologies to process, use and abuse personal information in many ways. These factors have challenged the means and the methods used by Directive to protect personal data and have altered the environment for the implementation of the Directive. Thus, it is clear that the context in which the data protection Directive was created has been changed fundamentally and certain basic assumptions of the Directive have already been challenged in approach, in law and in practice. All these factors show that the Directive is out of touch to meet the technological, social and legal challenges of 21st century and therefore need to be reviewed and amended.
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Lloyd, Ian J. "Data processing and individual freedom : data protection and beyond". Thesis, University of Strathclyde, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233213.
Texto completo da fonteNeophytou, Andonis. "Computer security : data control and protection". Virtual Press, 1992. http://liblink.bsu.edu/uhtbin/catkey/834504.
Texto completo da fonteDepartment of Computer Science
Pizzolante, Raffaele. "Compression and protection of multidimensional data". Doctoral thesis, Universita degli studi di Salerno, 2015. http://hdl.handle.net/10556/1943.
Texto completo da fonteThe main objective of this thesis is to explore and discuss novel techniques related to the compression and protection of multidimensional data (i.e., 3-D medical images, hyperspectral images, 3-D microscopy images and 5-D functional Magnetic Resonance Images). First, we outline a lossless compression scheme based on the predictive model, denoted as Medical Images Lossless Compression algorithm (MILC). MILC is characterized to provide a good trade-off between the compression performances and reduced usage of the hardware resources. Since in the medical and medical-related fields, the execution speed of an algorithm, could be a “critical” parameter, we investigate the parallelization of the compression strategy of the MILC algorithm, which is denoted as Parallel MILC. Parallel MILC can be executed on heterogeneous devices (i.e., CPUs, GPUs, etc.) and provides significant results in terms of speedup with respect to the MILC. This is followed by the important aspects related to the protection of two sensitive typologies of multidimensional data: 3-D medical images and 3-D microscopy images. Regarding the protection of 3-D medical images, we outline a novel hybrid approach, which allows for the efficient compression of 3-D medical images as well as the embedding of a digital watermark, at the same time. In relation to the protection of 3-D microscopy images, the simultaneous embedding of two watermarks is explained. It should be noted that 3-D microscopy images are often used in delicate tasks (i.e., forensic analysis, etc.). Subsequently, we review a novel predictive structure that is appropriate for the lossless compression of different typologies of multidimensional data... [edited by Author]
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Ng, Chi-kwan Miranda. "A study of the administrative provisions governing personal data protection in the Hong Kong Government". [Hong Kong] : University of Hong Kong, 1987. http://sunzi.lib.hku.hk/hkuto/record.jsp?B12335368.
Texto completo da fontePavlovic, Dusan <1981>. "Online Gambling in the UE: from Data Protection to Gambler Protection". Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8721/1/PAVLOVIC_DUSAN_tesi.pdf.
Texto completo da fonteLivros sobre o assunto "Data protection"
Judith, Firth, Nickson Susan, Hammond Suddards (Firm) e Chartered Institute of Personnel and Development., eds. Data protection. 2a ed. London: Chartered Institute of Personnel and Development, 2004.
Encontre o texto completo da fonte(Firm), Hammond Suddards, ed. Data protection. London: Institute of Personnel and Development, 2000.
Encontre o texto completo da fonteChannel, Executive Business, ed. Data protection. Stockport: Executive Business Channel, 1994.
Encontre o texto completo da fonteAssociation, British Dental. Data protection. London: British Dental Association, 2000.
Encontre o texto completo da fonteBainbridge, David I. Data protection. Welwvyn Garden City: CLT Professional Pub., 2000.
Encontre o texto completo da fonteInstruments, Great Britain Statutory. Data protection: The data protection regulations, 1985. London: H.M.S.O, 1985.
Encontre o texto completo da fonteMorgan, Richard. Data protection strategy: Implementing data protection compliance. 2a ed. London: Sweet & Maxwell/Thomson Reuters, 2012.
Encontre o texto completo da fonteRuth, Boardman, ed. Data protection strategy: Implementing data protection compliance. London: Sweet & Maxwell, 2003.
Encontre o texto completo da fonteOffice, Home. Protecting personal data: The Data Protection Act 1984. London: Home Office, 1985.
Encontre o texto completo da fonteGreat Britain. Office of the Data Protection Registrar., ed. Data Protection Act 1984, the data protection principles. Wilmslow: Data Protection Registrar, 1989.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Data protection"
Finch, John. "Data protection". In Speller’s Law Relating to Hospitals, 350–72. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-7122-7_13.
Texto completo da fonteToker, Kadir Atilla. "Data Protection". In Encyclopedia of Corporate Social Responsibility, 752–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28036-8_419.
Texto completo da fonteHannah, Kathryn J., Marion J. Ball e Margaret J. A. Edwards. "Data Protection". In Health Informatics, 194–209. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3095-1_14.
Texto completo da fonteIslam, M. Nazrul. "Data Protection". In Encyclopedia of Security and Emergency Management, 1–7. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69891-5_95-1.
Texto completo da fonteIslam, M. Nazrul. "Data Protection". In Encyclopedia of Security and Emergency Management, 1–7. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-69891-5_95-2.
Texto completo da fonteGlasby, Jon, e Helen Dickinson. "Data Protection". In A–Z of Inter-Agency Working, 38–41. London: Macmillan Education UK, 2014. http://dx.doi.org/10.1007/978-1-137-00533-5_15.
Texto completo da fonteLakshmi, Vasantha. "Data Protection". In Beginning Security with Microsoft Technologies, 173–230. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4853-9_5.
Texto completo da fonteFrost, Chris. "Data protection". In Privacy and the News Media, 104–10. London ; New York : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.4324/9780429029813-10.
Texto completo da fonteKolb, Marina. "Data Protection". In The European Union and the Council of Europe, 63–86. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137023636_4.
Texto completo da fonteToker, Kadir Atilla. "Data Protection". In Encyclopedia of Sustainable Management, 1097–100. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25984-5_76.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Data protection"
Li, Yifeng. "Blockchain transaction data privacy protection scheme". In Fifth International Conference on Computer Communication and Network Security (CCNS 2024), editado por Zhiyong Xiong e Zhaolong Ning, 37. SPIE, 2024. http://dx.doi.org/10.1117/12.3038136.
Texto completo da fonteXu, Shouyin, Lingguang Lei, Yuewu Wang e Heqing Huang. "KPDP: Kernel Permission Data Protection Against Data-Oriented Attacks". In 2024 9th International Conference on Signal and Image Processing (ICSIP), 538–43. IEEE, 2024. http://dx.doi.org/10.1109/icsip61881.2024.10671512.
Texto completo da fonteBărbuceanu, Teodor, Razvan Craciunescu e Eduard Popovici. "Data Protection Device". In 2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2023. http://dx.doi.org/10.1109/ecai58194.2023.10194205.
Texto completo da fonteSkendzic, A., B. Kovacic e E. Tijan. "General data protection regulation — Protection of personal data in an organisation". In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2018. http://dx.doi.org/10.23919/mipro.2018.8400247.
Texto completo da fonteFotiou, Nikos, George Xylomenos e Yannis Thomas. "Data integrity protection for data spaces". In EuroSys '24: Nineteenth European Conference on Computer Systems. New York, NY, USA: ACM, 2024. http://dx.doi.org/10.1145/3642974.3652284.
Texto completo da fonte"TOWARDS DATA PROTECTION COMPLIANCE". In International Conference on Security and Cryptography. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0002981802130216.
Texto completo da fonteBenjamin, Bruce, Joel Coffman, Hadi Esiely-Barrera, Kaitlin Farr, Dane Fichter, Daniel Genin, Laura Glendenning et al. "Data Protection in OpenStack". In 2017 IEEE 10th International Conference on Cloud Computing (CLOUD). IEEE, 2017. http://dx.doi.org/10.1109/cloud.2017.77.
Texto completo da fonteGabillon, Alban, e Patrick Capolsini. "Protection of geographic data". In the First International Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2107581.2107588.
Texto completo da fonteANGUS, JOHN. "Software based data protection". In 7th Computers in Aerospace Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-3080.
Texto completo da fonteKan, Senwen, Jennifer Dworak e James George Dunham. "Echeloned IJTAG data protection". In 2016 IEEE Asian Hardware-Oriented Security and Trust (AsianHOST). IEEE, 2016. http://dx.doi.org/10.1109/asianhost.2016.7835558.
Texto completo da fonteRelatórios de organizações sobre o assunto "Data protection"
Souppaya, Murugiah. Data Classification Concepts and Considerations for Improving Data Protection. Gaithersburg, MD: National Institute of Standards and Technology, 2023. http://dx.doi.org/10.6028/nist.ir.8496.ipd.
Texto completo da fonteRiyadi, Gliddheo. Data Privacy in the Indonesian Personal Data Protection Legislation. Jakarta, Indonesia: Center for Indonesian Policy Studies, 2021. http://dx.doi.org/10.35497/341482.
Texto completo da fonteBandyopadhyay, Subhayu, e Suryadipta Roy. Corruption and Trade Protection: Evidence from Panel Data. Federal Reserve Bank of St. Louis, 2007. http://dx.doi.org/10.20955/wp.2007.022.
Texto completo da fontePerdana, Arif, e Saru Arifin. Finding a fix for Indonesia’s data protection problems. Editado por Ria Ernunsari. Monash University, dezembro de 2023. http://dx.doi.org/10.54377/130f-dbb9.
Texto completo da fonteChandramouli, Ramaswamy. A Data Protection Approach for Cloud-Native Applications. Gaithersburg, MD: National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ir.8505.ipd.
Texto completo da fonteChandramouli, Ramaswamy. A Data Protection Approach for Cloud-Native Applications. Gaithersburg, MD: National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ir.8505.
Texto completo da fonteNasution, Sri. Improving Data Governance and Personal Data Protection through ASEAN Digital Masterplan 2025. Jakarta, Indonesia: Center for Indonesian Policy Studies, 2021. http://dx.doi.org/10.35497/353777.
Texto completo da fonteNotarianni, Kathy, e William Rinkinen. Protection of data processing equipment with fine water sprays. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5514.
Texto completo da fonteYin, Tianzhixi, Jianming Lian, John Buckheit e Rui Fan. Bridging Power System Protection Gaps with Data-driven Approaches. Office of Scientific and Technical Information (OSTI), fevereiro de 2021. http://dx.doi.org/10.2172/1771797.
Texto completo da fonteCunniffe, Emily, e Anne Sheridan. Data management in the international protection procedure in Ireland. ESRI, julho de 2021. http://dx.doi.org/10.26504/rs125.
Texto completo da fonte