Fuzzy frequent episodes for real-time intrusion detection

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2001, Pages 368-371

  Luo, Jianxiong ^a   Bridges, Susan M ^a   Vaughn Jr , Rayford B ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CRYPTOGRAPHY; DATA MINING; KNOWLEDGE BASED SYSTEMS; MEMBERSHIP FUNCTIONS; REAL TIME SYSTEMS; SECURITY OF DATA;

ASSOCIATION RULE MINING; FREQUENT EPISODE MINING; FUZZY ASSOCIATION RULES; FUZZY FREQUENT EPISODES; REAL TIME INTRUSION DETECTION;

FUZZY SETS;

EID: 0035747057     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Fast discovery of association rules
2. Fuzzy network profiling for intrusion detection
3. Mining fuzzy association rules in databases
4. Mining audit data to build intrusion detection models
5. Mining fuzzy association rules and fuzzy frequency episodes for intrusion detection
6. Discovering generalized episodes using minimal occurrences
7. Adaptive real-time anomaly detection using inductively generated sequential patterns