Recursive Histogram Tracking-Based Rapid Online Anomaly Detection in Cyber-Physical Systems
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA
2. Department of Mechatronics Engineering, The Hashemite University, Zarqa, Jordan
Funder
U.S. National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software
Link
https://ieeexplore.ieee.org/ielam/6221021/9919317/9715726-aam.pdf
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1. A2G2V: Automatic Attack Graph Generation and Visualization and Its Applications to Computer and SCADA Networks
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5. A Cyber-Physical Anomaly Detection for Wide-Area Protection Using Machine Learning
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