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is the insider project, which explores solutions to traitors and masqueraders within an organization. The Project includes host side sensors, and active trapping technology to detect malicious insiders.

Nathaniel Boggs
Modeling User Search Behavior for Masquerade Detection
A Comparison of One-Class Bag-of-Words User Behavior Modeling Techniques for Masquerade Detection
Monitoring Technologies for Mitigating Insider Threats
Detecting Masqueraders: A Comparison of One-Class Bag-of-Words User Behavior Modeling Techniques
Designing Host and Network Sensors to Mitigate the Insider Threat
On the Design and Execution of Cyber-Security User Studies: Methodology, Challenges, and Lessons Learned

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