Blockchain-based anomaly detection of electricity consumption in smart grids.
Meng LiKeli ZhangJiamou LiuHanxiao GongZijian ZhangPublished in: Pattern Recognit. Lett. (2020)
Keyphrases
- anomaly detection
- electricity consumption
- electric power
- intrusion detection
- detecting anomalies
- anomalous behavior
- energy saving
- energy consumption
- network traffic
- network intrusion detection
- detecting anomalous
- economic development
- intrusion detection system
- network anomaly detection
- negative selection algorithm
- network security
- connectionist systems
- unsupervised learning
- one class support vector machines
- cumulative sum
- data sets
- detect anomalies
- computer systems
- decision support system
- fuzzy logic
- hidden markov models
- reinforcement learning