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DPIA in Context: Applying DPIA to Assess Privacy Risks of Cyber Physical Systems
Future Internet, 2020 Cyber Physical Systems (CPS) seamlessly integrate physical objects with technology, thereby blurring the boundaries between the physical and virtual environments.
Jane Henriksen-Bulmer +2 more
doaj +1 more source
Systematic privacy impact assessment scheme for smart connected toys data privacy compliance [PDF]
, 2021 Children\u27s privacy compliance assessment in the area of smart connected toy (SCT) or play robot is a challenge, considering the plethora of device manufacturers using varied controls in an attempt to address diverse global children\u27s privacy ...
Hung, Patrick C.K. +2 more
core +2 more sources
Verifying student identity in oral assessments with deep speaker
Computers and Education: Artificial Intelligence, 2022 Contract cheating, a form of academic misconduct in which students outsource assessment activities to third parties, is a topic of concern among educators.
Jake Renzella +2 more
doaj +1 more source
Revista de Bioética y Derecho, 2017 This article discusses the main provisions of the Guidelines on big data and data protection recently adopted by the Consultative Committee of the Council of Europe.
Alessandro Mantelero
doaj +1 more source
Data Protection Impact Assessment (DPIA) for Cloud-Based Health Organizations
Future Internet, 2021 The General Data Protection Regulation (GDPR) harmonizes personal data protection laws across the European Union, affecting all sectors including the healthcare industry.
Dimitra Georgiou, Costas Lambrinoudakis
doaj +1 more source
Privacy impact assessment – a privacy protection improvement model? [PDF]
, 2011 A Privacy Impact Assessment (PIA) is a systematic risk assessment tool, enabling organizations to maintain compliance with data protection regulations, to manage privacy risks and to provide public benefits through the success of privacy-by-design ...
Weber, Rolf H, Weber, Rolf H.
openaire +3 more sources
Privacy Impact Assessment Template for Provenance
2016 11th International Conference on Availability, Reliability and Security (ARES), 2016 Provenance data can be expressed as a graph with links informing who and which activities created, used and modified entities. The semantics of these links and domain specific reasoning can support the inference of additional information about the elements in the graph.
Jenni Reuben +5 more
openaire +3 more sources
Labour & Law Issues, 2016 The essay examines the EU Regulation n.2016/679, that will enter into force as from 2018, ponting out its impact on the Data Protection for workers.The Author assesses the UE Regulation key topics: the need of Risk Analysis and Impact Privacy Assessment ...
Claudia Ogriseg
doaj +1 more source
Privacy and Security Best Practices for IoT Solutions
IEEE Access, 2023 The rapid increase in Internet of Things (IoT) applications has raised security and privacy issues due to the huge amount of data acquired by IoT devices and transmitted through the Internet.
Matteo Anedda +7 more
doaj +1 more source
JMIR mHealth and uHealth, 2023 BackgroundDespite the importance of the privacy and confidentiality of patients’ information, mobile health (mHealth) apps can raise the risk of violating users’ privacy and confidentiality.
Rita Rezaee +4 more
doaj +1 more source