Threshold-based clustering for intrusion detection systems.
Vladimir NikulinPublished in: Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security (2006)
Keyphrases
- intrusion detection system
- intrusion detection
- anomaly detection
- network security
- network traffic
- network intrusion detection
- computer networks
- distributed intrusion detection
- clustering algorithm
- unsupervised learning
- network intrusion detection systems
- computer security
- intrusion prevention
- k means
- malicious activities
- alert correlation
- computer systems
- attack detection
- object recognition
- denial of service attacks
- cyber attacks
- data mining techniques
- multistage
- data points
- information retrieval
- network intrusion
- data mining
- normal behavior
- cyber security
- learning algorithm
- information security
- self organizing maps
- data management
- data processing