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Data & Policy, 2022 The present paper, which composes a broader research agenda developed by Data Privacy Brasil Research Association, aims to conduct a descriptive and qualitative study of the Brazilian National Identity System through a data protection and data justice ...
Bruno Bioni +3 more
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PharmaLedger: Blockchain-Enabled Healthcare: Privacy-Enhancement with Blockchain
Blockchain in Healthcare Today, 2022 Topics such as supply chain, clinical trials and health data will be explored along with how blockchian can exist in harmony with GDPR.
Halid Kayhan, Co-lead for Regulatory, Legal and Data Privacy Framework, PharmaLedger
doaj +1 more source
A Privacy-Preserving Scheme for Smart Grid Using Trusted Execution Environment
IEEE Access, 2023 The increasing transformation from the legacy power grid to the smart grid brings new opportunities and challenges to power system operations. Bidirectional communications between home-area devices and the distribution system empower smart grid ...
Mete Akgun +2 more
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European Journal of Privacy Law & Technologies, 2022 The technological revolution in the fields of robotics and artificial intelligence seems to indicate a future shift in our human-centered social paradigm towards a greater inclusion of artificial cognitive agents in our everyday environments ...
Sergio Guida
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Big Data and Cognitive Computing, 2023 Infectious diseases take a large toll on the global population, not only through risks of illness but also through economic burdens and lifestyle changes.
Alice Wang +4 more
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Automatic Assessment of Privacy Policies under the GDPR
Applied Sciences, 2021 To comply with the EU General Data Protection Regulation (GDPR), companies managing personal data have been forced to review their privacy policies. However, privacy policies will not solve any problems as long as users do not read or are not able to ...
David Sánchez +2 more
doaj +1 more source
KeyNet: An Asymmetric Key-Style Framework for Watermarking Deep Learning Models
Applied Sciences, 2021 Many organizations devote significant resources to building high-fidelity deep learning (DL) models. Therefore, they have a great interest in making sure the models they have trained are not appropriated by others. Embedding watermarks (WMs) in DL models
Najeeb Moharram Jebreel +3 more
doaj +1 more source
Government Access to Personal Data and Transnational Interoperability: An Accountability Perspective
Oslo Law Review, 2023 This article applies the principle of ʻaccountabilityʼ to the issue of international transfers of personal data and government requirements for access to that data.
Christopher Docksey, Kenneth Propp
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Design and Security Analysis of Cryptosystems
Applied Sciences, 2023 The development of cryptography is closely related to the development of computers [...]
Suhri Kim, Seokhie Hong
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Balancing smartness and privacy for the Ambient Intelligence [PDF]
, 2006 Ambient Intelligence (AmI) will introduce large privacy risks. Stored context histories are vulnerable for unauthorized disclosure, thus unlimited storing of privacy-sensitive context data is not desirable from the privacy viewpoint.
Anciaux, Nicolas +3 more
core +7 more sources