Intrusion Detection Using Data Mining Techniques
Abstract
Principal Investigator and research fellows conduct research in the investigation of network-based intrusion detection using data mining techniques based on advanced computational statistics and visualization techniques. These new methods will provide the means to detect the presence of covert channels operating on user systems, passively perform continuous user authentication, discern subtle network attacks and information-gathering activities, and provide interface support for "storm center" situational display of intrusion detection alerts, damage assessment, and current network state-of-health.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2004
- Accession Number
- ADA421061
Entities
People
- Don R. Faxon
- Edward Wegman
Organizations
- George Mason University