Adaptive, Model-Based Monitoring for Cyber Attack Detection-Reference-Cited by-同舟云学术

Adaptive, Model-Based Monitoring for Cyber Attack Detection

Published:2000 Issue: Volume: Page:80-93
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Valdes Alfonso,Skinner Keith

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-39945-3_6

Reference7 articles.

1. Porras, P. and Neumann, P. “EMERALD: Event Monitoring Enabling Responses to Anomalous Live Distrurbances”, National Information Security Conference, 1997. http://www.sdl.sri.com/emerald/emerald-niss97.html

2. Valdes, A. and Anderson, D. “Statistical Methods for Computer Usage Anomaly Detection”, Third International Workshop on Rough Sets and Soft Computing, San Jose, CA, 1995.

3. P. A. Porras and A. Valdes. Live traffic analysis of TCP/IP gateways. In Proceedings of the Symposium on Network and Distributed System Security. Internet Society, March 1998.

4. Pearl, J. “Probabilistic Reasoning in Intelligent Systems”, Morgan-Kaufman (1988).

5. Boyen, X. and Koller, D. “Tractable Inference for Complex Stochastic Processes”, Proceedings of the 14th Annual Conference on Uncertainty in Artificial Intelligence (UAI-98), Madison, WI, July 1998. http://robotics.Stanford.EDU/xb/uai98/index.html

Cited by 76 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. False Data Injection Attack Detection of Cyber-Physical Charging Systems Based on Time-Frequency Analysis;2023 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE);2023-06

2. A Survey on Threat Hunting in Enterprise Networks;IEEE Communications Surveys & Tutorials;2023

3. Autonomous Federated Learning for Distributed Intrusion Detection Systems in Public Networks;IEEE Access;2023

4. Shock Trap: An active defense architecture based on trap vulnerabilities;2022 7th IEEE International Conference on Data Science in Cyberspace (DSC);2022-07

5. Bayesian Models Applied to Cyber Security Anomaly Detection Problems;International Statistical Review;2021-07-26