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Full-Text Articles in Library and Information Science
Improved Document Representation For Classification Tasks For The Intelligence Community, Elizabeth D. Liddy, Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian
Improved Document Representation For Classification Tasks For The Intelligence Community, Elizabeth D. Liddy, Ozgur Yilmazel, Svetlana Symonenko, Niranjan Balasubramanian
School of Information Studies - Faculty Scholarship
This research addresses the question of whether the AI technologies of Natural Language Processing (NLP) and Machine Learning (ML) can be used to improve security within the Intelligence Community (IC).
Semantic Analysis For Monitoring Insider Threats, Svetlana Symonenko, Elizabeth D. Liddy, Ozgur Yilmazel, Robert Del Zoppo, Eric Brown
Semantic Analysis For Monitoring Insider Threats, Svetlana Symonenko, Elizabeth D. Liddy, Ozgur Yilmazel, Robert Del Zoppo, Eric Brown
School of Information Studies - Faculty Scholarship
Malicious insiders’ difficult-to-detect activities pose serious threats to the intelligence community (IC) when these activities go undetected. A novel approach that integrates the results of social network analysis, role-based access monitoring, and semantic analysis of insiders ’ communications as evidence for evaluation by a risk assessor is being tested on an IC simulation. A semantic analysis, by our proven Natural Language Processing (NLP) system, of the insider’s text-based communications produces conceptual representations that are clustered and compared on the expected vs. observed scope. The determined risk level produces an input to a risk analysis algorithm that is merged with outputs …