Conference Paper

A knowledge-base model for insider threat prediction

Jun 20, 2017

DOI: 10.1109/IAW.2007.381939

Published in: A knowledge-base model for insider threat prediction

/ Qutaibah Althebyan Brajendra Panda

Many consider insider attacks to be more severe and devastating than outsider attacks. Many techniques exist for defending against outsider attacks. However, little work has been presented for defending insider attacks and threats. In this work, we presented a prediction technique for insider threats. Due to the nature of these kinds of attacks, we relied on some characteristics of the insiders and the decomposition of objects in the underlying system in developing our method.

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