Ontological semantic technology for detecting insider threat and social engineering

Authors:
Victor Raskin;Julia M. Taylor;Christian F. Hempelmann
Affiliations:
Purdue University, West Lafayette, IN, USA;Purdue University, West Lafayette, IN, USA;Purdue University, West Lafayette, IN, USA
Venue:
Proceedings of the 2010 workshop on New security paradigms
Year:
2010

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Abstract

This paper describes a computational system for detecting unintentional inferences in casual unsolicited and unrestricted verbal output of individuals, potentially responsible for leaked classified information to people with unauthorized access. Uses of the system for cases of insider threat and/or social engineering are discussed. Brief introductions to Ontological Semantic Technology and Natural Language Information Assurance and Security are included.