Understanding Insider Threat:A Framework for Characterising Attacks

Nurse, Jason R. C., Buckley, Oliver ORCID: https://orcid.org/0000-0003-1502-5721, Legg, Philip A., Goldsmith, Michael, Creese, Sadie, Wright, Gordon R. T. and Whitty, Monica (2014) Understanding Insider Threat:A Framework for Characterising Attacks. In: Security and Privacy Workshops (SPW), 2014 IEEE. The Institute of Electrical and Electronics Engineers (IEEE), pp. 214-228. ISBN 978-1-4799-5103-1

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Abstract

The threat that insiders pose to businesses, institutions and governmental organisations continues to be of serious concern. Recent industry surveys and academic literature provide unequivocal evidence to support the significance of this threat and its prevalence. Despite this, however, there is still no unifying framework to fully characterise insider attacks and to facilitate an understanding of the problem, its many components and how they all fit together. In this paper, we focus on this challenge and put forward a grounded framework for understanding and reflecting on the threat that insiders pose. Specifically, we propose a novel conceptualisation that is heavily grounded in insider-threat case studies, existing literature and relevant psychological theory. The framework identifies several key elements within the problem space, concentrating not only on noteworthy events and indicators- technical and behavioural- of potential attacks, but also on attackers (e.g., the motivation behind malicious threats and the human factors related to unintentional ones), and on the range of attacks being witnessed. The real value of our framework is in its emphasis on bringing together and defining clearly the various aspects of insider threat, all based on real-world cases and pertinent literature. This can therefore act as a platform for general understanding of the threat, and also for reflection, modelling past attacks and looking for useful patterns.

Item Type:	Book Section
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Depositing User:	Pure Connector
Date Deposited:	31 Jan 2018 10:30
Last Modified:	24 Sep 2024 08:08
URI:	https://ueaeprints.uea.ac.uk/id/eprint/66152
DOI:	10.1109/SPW.2014.38

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