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Memory-Augmented Insider Threat Detection with Temporal-Spatial Fusion
Insider threat detection is important for the smooth operation and security protection of an organizational system. Most existing detection models establish historical baseline by reconstructing single-day and individual user behaviors, and then treat any outlier of the baseline as a threat. However...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Hindawi-Wiley
2022-01-01
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| Collection: | Security and Communication Networks |
| Accès en ligne: | http://dx.doi.org/10.1155/2022/6418420 |
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