Identifying Common Characteristics of Malicious Insiders

Nan Liang, David Biros

Abstract


Malicious insiders account for large proportion of security breaches or other kinds of loss for organizations and have drawn attention of both academics and practitioners. Although methods and mechanism have been developed to monitor potential insider via electronic data monitoring, few studies focus on predicting potential malicious insiders. Based on the theory of planned behavior, certain cues should be observed or expressed when an individual performs as a malicious insider. Using text mining to analyze various media content of existing insider cases, we strive to develop a method to identify crucial and common indicators that an individual might be a malicious insider.

Keywords


malicious insider, insider threat, the theory of planned behavior, text mining

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References


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