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Using Internet Activity Profiling for Insider-Threat Detection

Alahmadi, Bushra A., Legg, Philip .A., Nurse, Jason R. C. (2015) Using Internet Activity Profiling for Insider-Threat Detection. In: Proceedings of the 17th International Conference on Enterprise Information Systems - (Volume 2). 2. pp. 709-720. SciTePress ISBN 978-989-758-097-0. (doi:10.5220/0005480407090720) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:67508)

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The insider-threat problem continues to be a major risk to both public and private sectors, where those people

organisation. To combat against this, organisations are beginning to invest heavily in deterrence monitoring

Whilst such tools may provide some way towards detecting attacks afterwards, what may be more useful is

before it happens. Psychological research advocates that the behaviour and preference of a person can be

indicate the likelihood of an individual being a potential insider threat. By considering how browsing content

over time, potential insider-threats could be uncovered before significant damage is caused. The main contribution

psychological characteristics in order to detect potential insider-threats. Our results demonstrate that predictive

which could greatly improve the prospects of preventing insider attacks.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.5220/0005480407090720
Subjects: Q Science
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Divisions > Division of Human and Social Sciences > School of Psychology
Depositing User: Jason Nurse
Date Deposited: 02 Jul 2018 16:57 UTC
Last Modified: 16 Feb 2021 13:55 UTC
Resource URI: (The current URI for this page, for reference purposes)
Nurse, Jason R. C.:
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