Parameterizing poisoning attacks in federated learning-based intrusion detection.
Mohamed Amine MerzoukFrédéric CuppensNora Boulahia-CuppensReda YaichPublished in: ARES (2023)
Keyphrases
- intrusion detection
- learning algorithm
- intrusion detection system
- network intrusion detection
- network attacks
- anomaly detection
- network intrusion
- network security
- network traffic
- network intrusions
- active learning
- network intrusion detection systems
- reinforcement learning
- network traffic data
- false positives and false negatives
- intrusion prevention
- high detection rate
- cyber attacks
- computer security
- unsupervised learning
- supervised learning
- cyber security
- artificial immune
- data mining techniques
- pairwise
- machine learning
- databases