Clustering and Ensemble Based Approach for Securing Electricity Theft Detectors Against Evasion Attacks.
Islam ElgarhyMahmoud M. BadrMohamed M. E. A. MahmoudMostafa M. FoudaMaazen AlsabaanHisham A. KholidyPublished in: IEEE Access (2023)
Keyphrases
- countermeasures
- information security
- clustering algorithm
- k means
- identity theft
- unsupervised learning
- hierarchical clustering
- clustering method
- neural network
- insider threat
- clustering ensemble
- learning algorithm
- document clustering
- ensemble clustering
- data clustering
- fuzzy clustering
- security issues
- object detection
- object recognition
- cluster analysis
- short term
- intrusion detection
- anomaly detection
- random forests
- private information
- semi supervised
- data points
- ensemble classifier
- training set
- consensus clustering
- information systems
- electricity consumption
- data sets