Translating contextual integrity into practice using CLIFOD.

Henriksen-Bulmer, Jane; Faily, Shamal; Katos, Vasilios

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.

Citation

HENRIKSEN-BULMER, J., FAILY, S. and KATOS, V. 2018. Translating contextual integrity into practice using CLIFOD. Presented at the 2018 Networked privacy workshop: privacy in context: critically engaging with theory to guide privacy research and design, part of the 21st ACM conference on computer-supported cooperative work and social computing (CSCW 2018), 3 November 2018, Jersey City, USA.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: 2018 Networked privacy workshop: privacy in context: critically engaging with theory to guide privacy research and design, part of the 21st ACM conference on computer-supported cooperative work and social computing (CSCW 2018)
• Start Date: Nov 3, 2018
• Deposit Date: Dec 15, 2021
• Publicly Available Date: Dec 15, 2021
• Peer Reviewed: Peer Reviewed
• Keywords: Privacy and computing; Data protection; Open Data; Personal data
• Public URL: https://rgu-repository.worktribe.com/output/1437866