Exploring rationality of self awareness in social networking for logical modeling of unintentional insiders

Conference paper

Kammueller, F. and Alvarado, C. 2022. Exploring rationality of self awareness in social networking for logical modeling of unintentional insiders. Moallem, A. (ed.) HCI-CPT: 4th International Conference on HCI for Cybersecurity, Privacy and Trust. Virtual 26 Jun - 01 Jul 2022 Springer. pp. 340-357 https://doi.org/10.1007/978-3-031-05563-8_22
TypeConference paper
TitleExploring rationality of self awareness in social networking for logical modeling of unintentional insiders
AuthorsKammueller, F. and Alvarado, C.
Abstract

Unawareness of privacy risks together with approval seeking motivations make humans enter too much detail into the likes of Facebook, Twitter, and Instagram. To test whether the rationality principle applies, we construct a tool that shows to a user what is known publicly on social networking sites about her. In our experiment, we check whether this revelation changes human behaviour. To extrapolate and generalize, we use the insights gained by practical experimentation. Unaware users can become targeted by attackers. They then become unintentional insid- ers. We demonstrate this by extending the Isabelle Insider framework to accommodate a formal model of unintentional insiders, an open problem with long standing.

ConferenceHCI-CPT: 4th International Conference on HCI for Cybersecurity, Privacy and Trust
Page range340-357
EditorsMoallem, A.
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783031055621
Electronic9783031055638
PublisherSpringer
Publication dates
Print14 May 2022
Online16 Jun 2022
Publication process dates
Deposited10 Jun 2022
Accepted17 Feb 2022
Output statusPublished
Accepted author manuscript
Copyright Statement

This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-05563-8_22. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-ma...

Additional information

Lecture Notes in Computer Science, 13333

Web address (URL)https://link.springer.com/chapter/10.1007/978-3-031-05563-8_22
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-05563-8_22
LanguageEnglish
Book titleHCI for Cybersecurity, Privacy and Trust: 4th International Conference, HCI-CPT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings
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