MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling
Insider threats often reveal early anomalies through disruptions in behavioral statistics-such as altered recurrence patterns or short-versus long-term frequency shifts-rather than changes in event semantics. Yet, as the field has shifted from statistical modeling to log tokenization and deep sequential encoders, these statistical cues are weakened or lost, leaving current models insensitive to gradual and low-visibility insider behaviors.We propose MV-Gate, a multi-view behavior modeling framework that explicitly integrates statistical regularities with sequence semantics. MV-Gate constructs three aligned behavioral sequences: activity tokens, multi-scale status signals capturing recurre...
| Authors | Kaichuan Kong, Dongjie Liu, Xiaobo Jin et al. |
|---|---|
| Primary category | cs.SI |
| Published | 18 May 2026 |
| Last updated at source | 18 May 2026 |
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