Jul 21, 2017 · Based on these double behavior characteristics, we introduce one-class classification to detect the corresponding anomalies, respectively.
Double Behavior Characteristics for One-Class Classification ...
dl.acm.org › abs › TIFS.2017.2730581
Double Behavior Characteristics for One-Class Classification Anomaly Detection in Networked Control Systems. Authors: Ming Wan. Key Laboratory of Networked ...
Based on these double behavior characteristics, we introduce one-class classification to detect the corresponding anomalies, respectively. Besides, we also ...
Abstract—Due to the growing dependencies of information network technology, networked control systems are undergoing a severe blow of cyberattacks, ...
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Dec 15, 2022 · Therefore, this paper proposes a Deep One-Class (DOC) classifier for network intrusion detection by only training on benign network data samples ...
Missing: Double Behavior Characteristics
Double Behavior Characteristics for One-Class Classification Anomaly Detection in Networked Control Systems. IEEE Trans. Inf. Forensics Secur. 2017, 12 ...
To detect industrial cyberattacks in networked control systems, we propose a deep learning anomaly detection approach based on hierarchical status-connection ...
WanMing et al. Double behavior characteristics for one-class classification anomaly detection in networked control systems. IEEE Trans. Inf. Forensics Secur ...
Double Behavior Characteristics for One-Class Classification Anomaly Detection in Networked Control Systems · Cyber-Attack Detection for Industrial Control ...
[PDF] (1 + ε)-class Classification: an Anomaly Detection Method for ...
jmlr.csail.mit.edu › volume21
We present a new family of anomaly detection algorithms which can be efficiently applied to the problems intermediate between one-class and two-class settings.