Privacy Threat Model in Lifelogging

Ferdous, M. S., Chowdhury, S. and Jose, J. M. (2016) Privacy Threat Model in Lifelogging. In: 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016), Heidelberg, Germany, 12-16 Sep 2016, pp. 576-581. ISBN 9781450344623 (doi: 10.1145/2968219.2968324)

Abstract

The lifelogging activity enables a user, the lifelogger, to passively capture multimodal records from a first-person perspective and ultimately create a visual diary encompassing every possible aspect of her life with unprecedented details. In recent years it has gained popularity among different groups of users. However, the possibility of ubiquitous presence of lifelogging devices especially in private spheres has raised serious concerns with respect to personal privacy. Different practitioners and active researchers in the field of lifelogging have analysed the issue of privacy in lifelogging and proposed different mitigation strategies. However, none of the existing works has considered a well-defined privacy threat model in the domain of lifelogging. Without a proper threat model, any analysis and discussion of privacy threats in lifelogging remains incomplete. In this paper we aim to fill in this gap by introducing a first-ever privacy threat model identifying several threats with respect to lifelogging. We believe that the introduced threat model will be an essential tool and will act as the basis for any further research within this domain.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Chowdhury, Soumyadeb and Ferdous, Mr MD SADEK
• Authors: Ferdous, M. S., Chowdhury, S., and Jose, J. M.
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781450344623

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