A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location.
Zenan LingRobert C. QiuXing HeLei ChuPublished in: IEEE Trans. Big Data (2021)
Keyphrases
- anomaly detection
- singular value decomposition
- coefficient matrix
- intrusion detection
- anomalous behavior
- detecting anomalies
- lie group
- network traffic
- network intrusion detection
- network anomaly detection
- rows and columns
- behavior analysis
- unsupervised anomaly detection
- computer security
- intrusion detection system
- detect anomalies
- one class support vector machines
- low rank
- machine learning
- negative selection algorithm
- unsupervised learning
- data sets
- network security
- network intrusion
- feature space
- cumulative sum
- neural network