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DPIA in Context: Applying DPIA to Assess Privacy Risks of Cyber Physical Systems.

Henriksen-Bulmer, J., Faily, S and Jeary, S., 2020. DPIA in Context: Applying DPIA to Assess Privacy Risks of Cyber Physical Systems. Future Internet, 12 (5), 93.

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Abstract

Cyber Physical Systems (CPS) seamlessly integrate physical objects with technology, thereby blurring the boundaries between the physical and virtual environments. While this brings many opportunities for progress, it also adds a new layer of complexity to the risk assessment process when attempting to ascertain what privacy risks this might impose on an organisation. In addition, privacy regulations, such as the General Data Protection Regulation (GDPR), mandate assessment of privacy risks, including making Data Protection Impact Assessments (DPIAs) compulsory. We present the DPIA Data Wheel, a holistic privacy risk assessment framework based on Contextual Integrity (CI), that practitioners can use to inform decision making around the privacy risks of CPS. This framework facilitates comprehensive contextual inquiry into privacy risk, that accounts for both the elicitation of privacy risks, and the identification of appropriate mitigation strategies. Further, by using this DPIA framework we also provide organisations with a means of assessing privacy from both the perspective of the organisation and the individual, thereby facilitating GDPR compliance. We empirically evaluate this framework in three different real-world settings. In doing so, we demonstrate how CI can be incorporated into the privacy risk decision-making process in a usable, practical manner that will aid decision makers in making informed privacy decisions.

Item Type:Article
ISSN:1999-5903
Additional Information:This article belongs to the Special Issue Future and Emerging topics in Security for Cyber-Physical Systems
Uncontrolled Keywords:contextual integrity; privacy; risk; Data Protection Impact Assessment; DPIA; General Data Protection Regulation; GDPR
Group:Faculty of Science & Technology
ID Code:34036
Deposited By: Symplectic RT2
Deposited On:27 May 2020 13:33
Last Modified:14 Mar 2022 14:22

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