Uncovering insider threats from the digital footprints of individuals.

IBM Journal of Research and Development(2016)

引用 5|浏览155
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摘要
We present a system to detect anomalous and ultimately malevolent behavior of people from their digital footprint within an institution. Tripwire approaches based on single features cannot adequately distinguish between normal unpredictable activities and truly counterproductive behavior. For example, a sequence of copying and sending small amounts of data can easily elude a pure single-feature tr...
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关键词
Bayes methods,Digital systems,Electronic mail,Data mining,Statistical analysis,Semantics
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