The intrusion detection system based on fuzzy association rules mining

ICCET 2010 - 2010 International Conference on Computer Engineering and Technology, Proceedings

Volumn 7, Issue , 2010, Pages

  Ma, Yanchun ^a  

^a NORTH CHINA INSTITUTE OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Association rules; Denial of service attack; Fuzzy association rules; Fuzzy theory; Network security

Indexed keywords

ABNORMAL DETECTION; CUT-OFF; DENIAL OF SERVICE; DENIAL OF SERVICE ATTACKS; DOS ATTACKS; FALSE POSITIVE; FUZZY ASSOCIATION RULE; FUZZY THEORY; INFORMATION DETECTION; INTRUSION DETECTION SYSTEMS; NETWORK BEHAVIORS; NETWORK INTRUSION DETECTION SYSTEMS; PACKET FLOWS;

ASSOCIATIVE PROCESSING; COMPUTER CRIME; FUZZY LOGIC; FUZZY RULES; INTRUSION DETECTION; NETWORK SECURITY;

ASSOCIATION RULES;

EID: 77958026652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCET.2010.5485674     Document Type: Conference Paper

References (6)

1. German Florez, Susan M. Bridges, and Rayford B. Vaughn, "An Improved Algorithm for Fuzzy Data Mining for Intrusion Detection," Proceedings of the Fuzzy Information Processing Society, June 2002, pp. 457-462.
2. Susan M. Bridges and Rayford B. Vaughn, "Intrusion Detection Via Fuzzy Data Mining", Proceedings of the twelfth Annual Canadian Information Technology Security Symposium, June 19-23, 2000.
3. Dickerson, J.E. and Dickerson J.A., "Fuzzy network profiling for intrusion detection," Fuzzy Information Processing Society, 2000, pp. 301-306.
4. Chang-Tien Lu, Arnold P. Boedihardjo and Prajwal Manalwar, "Exploiting efficient data mining techniques to enhance intrusion detection systems," Proceedings of the IEEE International Conference on Information Reuse and Integration, 2005, pp. 512-517.
5. Rakesh Agrawal, Tomasz Imielinski, Arum Swami. Mining association rules between sets of items in large databases: proc. of the ACM SIGMOD Conference on Management of Data[C]. Washington, D. C., 1993
6. Aly El2Semary, Janica Edmonds, Jesus Gonzalez2Pino, et al. App lying data mining of fuzzy association rules to network intrusion detection:p roceedings of the 2006 IEEE Workshop on Information Assurance.[C]. United States Military Academy, West Point, NY, 2006.