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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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書誌詳細
主要な著者: Dongyang Li, Lin Yang, Hongguang Zhang, Xiaolei Wang, Linru Ma
フォーマット: Artigo
言語:Inglês
出版事項: Hindawi-Wiley 2022-01-01
シリーズ:Security and Communication Networks
オンライン・アクセス:http://dx.doi.org/10.1155/2022/6418420
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