Machine Learning for Intrusion Detection: Stream Classification Guided by Clustering for Sustainable Security in IoT.
Martin Manuel LopezSicong ShaoSalim HaririSoheil SalehiPublished in: ACM Great Lakes Symposium on VLSI (2023)
Keyphrases
- intrusion detection
- machine learning
- anomaly detection
- network security
- intrusion detection system
- information security
- network traffic
- data mining
- clustering algorithm
- network intrusion detection
- unsupervised learning
- network intrusion
- high detection rate
- cyber security
- computer security
- intrusion detection and prevention
- cyber attacks
- false positives and false negatives
- feature selection
- k means
- artificial immune
- security vulnerabilities
- network attacks
- detecting anomalous
- network intrusion detection systems
- fraud detection
- model selection
- data mining techniques
- data analysis
- reinforcement learning
- alert correlation
- intrusion prevention