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Translating Contextual Integrity into Practice using CLIFOD.

Henriksen-Bulmer, J., Faily, S. and Katos, V., 2018. Translating Contextual Integrity into Practice using CLIFOD. In: 21st ACM Conference on computer-supported cooperative work and social computing (CSCS 2018), 3 Nov 2018, Jersey City, USA. (Unpublished)

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Abstract

Public open data increases transparency, but raises questions about the privacy implications of affected individuals. We present a case for using CLIFOD (ContextuaL Integrity for Open Data), a step-by-step privacy decision framework derived from contextual integrity, to assess the hidden risks of making data obtained from Internet of Things (IoT) and Smart City devices before any data is released and made openly available. We believe CLIFOD helps reduce the risk of any personal or sensitive data being inadvertently published or made available by guiding decision makers into thinking about privacy in context and what privacy risks might be associated with making the data available and how this might impact prosumers.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Media & Communication
ID Code:41250
Deposited By: Symplectic RT2
Deposited On:15 Sep 2025 14:05
Last Modified:15 Sep 2025 14:05

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