Gan, Diane ORCID: https://orcid.org/0000-0002-0920-7572 and Ivory, Dennis ORCID: https://orcid.org/0000-0003-3415-4924 (2022) Online privacy of personal information – perceptions v reality. In: Security and Privacy in New Computing Environments 4th EAI International Conference, SPNCE 2021, Virtual Event, December 10-11, 2021, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST) (423). Springer, Cham, Switzerland, pp. 346-368. ISBN 978-3030967918 ; 978-3030967901 (doi:10.1007/978-3-030-96791-8_26)

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Abstract

This empirical study investigates how (n = 252) users of online social networking sites perceived their online privacy and compares this to what can be collected by someone who has no connection to them in cyber-space. A survey was undertaken to determine each participant’s perceived privacy awareness of their online personal information at different levels of distance from them, such as by a friend, friend of a friend or a complete stranger. Experiments were performed for each participant to retrieve as much personal information as possible using OSINT (open source intelligence) tools. For the majority of participants their personal information was collected in under two minutes by someone who had no connection with them in cyber-space. The results that were predicted by the participants was compared to what was actually found and are shown to support our hypothesis that the majority over-exaggerated how secure their personal information was.

Item Type:	Conference Proceedings
Title of Proceedings:	Security and Privacy in New Computing Environments 4th EAI International Conference, SPNCE 2021, Virtual Event, December 10-11, 2021, Proceedings
Uncontrolled Keywords:	online social networks; online privacy; data harvesting; Facebook; Twitter; OSINT
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Related URLs:	https://link.springer.com/chapter/10.100...
Last Modified:	30 Sep 2024 09:52
URI:	http://gala.gre.ac.uk/id/eprint/34604

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