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MIT Lincoln Laboratory
University of Southern California-Information Sciences Institute
10 (lowest rank is 52)
Synthesized traffic presenting twelve potential insider threat scenarios, six true and six false positives.
The Insider Threat Data Corpus consists of twelve (12) scenarios. Six (6) of this scenarios include specific activities to support an enterprise insider goals. The other six(6) are"false positive" scenarios, where the activities are similar to an insider, but the actor' goals are not that of an insider. Each scenario can be characterized by the primary threat type posed in the scenario, its temporal distribution, the trigger for threat, and the party carrying out the attack.
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insider threat malicious insider synthetic data false positive enterprise network