Anomaly Detection in Cyber-Physical Systems Based on Genetic Algorithm with Dynamic Thresholding Detection
Author:
Affiliation:
1. North Carolina Agricultural and Technical State University,Department of Computer Science,Greensboro,USA
Funder
ONR
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10645221/10645222/10645284.pdf?arnumber=10645284
Reference20 articles.
1. Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks
2. Anomaly Detection in Cyber-Physical Systems based on BiGRU-VAE
3. Genetic algorithm based feature selection and MOE Fuzzy classification algorithm on Pima Indians Diabetes dataset
4. Software Fault Prediction using Wrapper based Feature Selection Approach employing Genetic Algorithm
5. A Hardware-in-the-Loop Water Distribution Testbed Dataset for Cyber-Physical Security Testing
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