Label-Free Multivariate Time Series Anomaly Detection
Author:
Affiliation:
1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, Zhejiang, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/69/10549876/10380724.pdf?arnumber=10380724
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1. Collaborative Sensing in Internet of Things: A Comprehensive Survey
2. Anomaly Detection for Discrete Sequences: A Survey
3. K-Means+ID3: A Novel Method for Supervised Anomaly Detection by Cascading K-Means Clustering and ID3 Decision Tree Learning Methods
4. Detecting PLC Intrusions Using Control Invariants
5. Security of Industrial Robots: Vulnerabilities, Attacks, and Mitigations
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