• DocumentCode
    154274
  • Title

    Understanding Insider Threat: A Framework for Characterising Attacks

  • Author

    Nurse, Jason R. C. ; Buckley, Oliver ; Legg, Philip A. ; Goldsmith, Michael ; Creese, Sadie ; Wright, Gordon R. T. ; Whitty, Monica

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Oxford, Oxford, UK
  • fYear
    2014
  • fDate
    17-18 May 2014
  • Firstpage
    214
  • Lastpage
    228
  • 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.
  • Keywords
    security of data; grounded framework; insider threat; psychological theory; Companies; Context; Educational institutions; Employment; History; Psychology; Security; attack chain; case studies; insider threat; psychological indicators; technical; threat framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security and Privacy Workshops (SPW), 2014 IEEE
  • Conference_Location
    San Jose, CA
  • Type

    conf

  • DOI
    10.1109/SPW.2014.38
  • Filename
    6957307