Encrypted Traffic Classification for Early-Stage Anomaly Detection in Power Grid Communication Network.
Tohid BehdadniaGeert DeconinckCan OzkanDave SingeléePublished in: ISGT EUROPE (2023)
Keyphrases
- anomaly detection
- power grid
- communication networks
- early stage
- network traffic
- smart grid
- computer networks
- intrusion detection
- unsupervised learning
- detect anomalies
- power system
- intrusion detection system
- network security
- cyber security
- wireless communication
- distributed databases
- network structure
- support vector
- supervised learning
- ip networks
- text classification
- training set
- computational intelligence
- machine learning
- data mining
- fuzzy logic
- databases
- power plant
- network management
- feature extraction
- electric vehicles