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Personal Information: Perceptions, Types and Evolution

Belen Sağlam, Rahime, Nurse, Jason R. C., Hodges, Duncan (2022) Personal Information: Perceptions, Types and Evolution. Journal of Information Security and Applications, . ISSN 2214-2126. (doi:10.1016/j.jisa.2022.103163) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:93468)

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Abstract

Advances in technology have made us as a society think more about cyber security and privacy, particularly how we consider and protect personal information. Such developments have introduced a temporal dimension to the definition of personal information and we have also witnessed new types of data emerging (e.g., phone sensor data, stress level measurements). These rapid technological changes introduce several challenges as legislation is often inadequate, and therefore questions regularly arise pertaining whether information should be considered personal or sensitive and thereby better protected. In this paper, therefore, we look to significantly advance research into this domain by investigating how personal information is regarded in governmental legislations/regulations, privacy policies of applications, and academic research articles. Through an assessment of how personal information has evolved and is perceived differently (e.g., in the context of sensitivity) across these key stakeholders identifying fundamental disconnects, this work contributes to understanding the social implications of new technologies. Furthermore, we introduce a series of novel taxonomies of personal information which can significantly support and help guide how researchers and practitioners work with, or develop tools to protect, such information.

Item Type: Article
DOI/Identification number: 10.1016/j.jisa.2022.103163
Uncontrolled keywords: Personal information, Information sensitivity, Data Protection, Regulations, Taxonomy, Cyber Security
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics (inc Computing science)
T Technology > T Technology (General)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders: [211] U.K. Engineering and physical Sciences Research Council (EPSRC)
Depositing User: Jason Nurse
Date Deposited: 04 Mar 2022 23:07 UTC
Last Modified: 29 Mar 2022 13:47 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93468 (The current URI for this page, for reference purposes)
Belen Sağlam, Rahime: https://orcid.org/0000-0002-6969-6451
Nurse, Jason R. C.: https://orcid.org/0000-0003-4118-1680
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