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Inferring Social Relationships from Technology-Level Device Connections

Nurse, Jason R. C., Pumphrey, Jess, Gibson-Robinson, Thomas, Goldsmith, Michael, Creese, Sadie (2014) Inferring Social Relationships from Technology-Level Device Connections. In: 2014 Twelfth Annual International Conference on Privacy, Security and Trust. . 40 - 47. IEEE ISBN 978-1-4799-3502-4. E-ISBN 978-1-4799-3503-1. (doi:10.1109/PST.2014.6890922) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Technology is present in every area of our lives and, for many, life without it has become unthinkable. As a consequence of this dependence and the extent to which technology devices (computers, tablets and smartphones) are being used for work and social activities, a clear coupling between devices and their owners can now be observed. By coupling, we specifically refer to the fact that information present on a person's device, be it user-generated or created by the native OS, can produce great insight into their life. In this paper, we look to exploit this coupling to investigate whether connections between technology devices recorded in system log-files, can be used to make inferences about the social relationships between device owners. A key motivation here is to better understand and elucidate the privacy risks associated with the digital footprints that we as humans (often inadvertently) create. Our work draws upon Social Network Analysis and basic Computer Forensics to develop and achieve the inference goals. From our preliminary experimentation, we demonstrate that human social relationships can indeed be inferred even within our limited initial scope. To further investigate the level of privacy exposure from technology-level links, we outline a more comprehensive plan of experimentation that will be conducted in future work.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/PST.2014.6890922
Uncontrolled keywords: standards; universal serial bus; computers; social network services; privacy; bluetooth; couplings
Subjects: Q Science
T Technology
Divisions: Faculties > Sciences > School of Computing > Security Group
Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Jason Nurse
Date Deposited: 02 Jul 2018 16:48 UTC
Last Modified: 29 Sep 2019 19:09 UTC
Resource URI: (The current URI for this page, for reference purposes)
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