Identifying and Clustering Users for Unsupervised Intrusion Detection in Corporate Audit Sessions.
Mathieu GarcheryMichael GranitzerPublished in: ICCC (2019)
Keyphrases
- intrusion detection
- anomaly detection
- intrusion detection system
- unsupervised learning
- network security
- network traffic
- network intrusion detection
- information security
- clustering algorithm
- unsupervised anomaly detection
- detecting anomalous
- high detection rate
- artificial immune
- k means
- data mining
- computer security
- cyber security
- network intrusion
- data mining techniques
- data processing
- supervised learning
- semi supervised
- malicious code detection
- network intrusion detection systems
- network attacks
- user sessions
- principal component analysis
- outlier detection
- maximum likelihood