A novel rule-based Intrusion Detection System using data mining

Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

Volumn 6, Issue , 2010, Pages 169-172

  Li, Lei ^a   Yang, De Zhang ^a   Shen, Fang Cheng ^a  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Association rules; Data mining; Intrusion detection; Length Decreasing Support; Rule based

Indexed keywords

APRIORI ALGORITHMS; FREQUENT ITEMSETS; INTRUSION DETECTION SYSTEMS; LENGTH-DECREASING SUPPORT; MACHINE LEARNING TECHNOLOGY; MALICIOUS ATTACK; NETWORK INTRUSION DETECTION; NETWORK INTRUSION DETECTION SYSTEMS; NETWORK TRAFFIC; RAPID DEVELOPMENT; RULE BASED; USER BEHAVIOR PATTERNS;

ASSOCIATION RULES; ASSOCIATIVE PROCESSING; BEHAVIORAL RESEARCH; COMPUTER CRIME; COMPUTER SCIENCE; DATA MINING; INFORMATION TECHNOLOGY; NETWORK SECURITY;

INTRUSION DETECTION;

EID: 77958544490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSIT.2010.5563714     Document Type: Conference Paper

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