We propose a design for insider threat detection that combines an array of complementary techniques that aims to detect evasive adversaries. We are motivated by real world incidents and our experience with building isolated detectors: such standalone mechanisms are often easily identified and avoided by malefactors. Our work-in-progress combines host-based user-event monitoring sensors with trap-based decoys and remote network detectors to track and correlate insider activity. We identify several challenges in scaling up, deploying, and validating our architecture in real environments.
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