Insider Threat Detection via Hierarchical Neural Temporal Point Processes
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8986695/9005444/09005589.pdf?arnumber=9005589
Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. BRITD: behavior rhythm insider threat detection with time awareness and user adaptation;Cybersecurity;2024-01-02
2. Protecting Control Commands Using Low-Cost EM Sensors in the Smart Grid;2023 IEEE Conference on Communications and Network Security (CNS);2023-10-02
3. Research Opportunity of Insider Threat Detection based on Machine Learning Methods;2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2023-02-20
4. DTITD: An Intelligent Insider Threat Detection Framework Based on Digital Twin and Self-Attention Based Deep Learning Models;IEEE Access;2023
5. A High Accuracy and Adaptive Anomaly Detection Model With Dual-Domain Graph Convolutional Network for Insider Threat Detection;IEEE Transactions on Information Forensics and Security;2023
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