Anomaly Detection as a Service: Challenges, Advances, and Opportunities

Author:

Yao Danfeng (Daphne)1,Shu Xiaokui2,Cheng Long1,Stolfo Salvatore J.3

Affiliation:

1. Virginia Tech

2. IBM Research

3. Columbia University

Publisher

Morgan & Claypool Publishers LLC

Cited by 10 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. Comparative Analysis of Deep CNN and VGG-16 for Anomaly Detection;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

2. GMFITD: Graph Meta-Learning for Effective Few-Shot Insider Threat Detection;IEEE Transactions on Information Forensics and Security;2024

3. Digital Twin-based Anomaly Detection with Curriculum Learning in Cyber-physical Systems;ACM Transactions on Software Engineering and Methodology;2023-07-22

4. Deep Learning-based Anomaly Detection in Cyber-physical Systems;ACM Computing Surveys;2022-06-30

5. Detecting Anomalous LAN Activities under Differential Privacy;Security and Communication Networks;2022-04-12

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