MAD-IDS: Novel intrusion detection system using mobile agents and data mining approaches

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6122, Issue , 2010, Pages 73-76

  Brahmi, Imen ^a   Ben Yahia, Sadok ^a   Poncelet, Pascal ^b  

^a FACULTÉ DES SCIENCES DE TUNIS   (Tunisia)

^b LIRMM   (France)

Author keywords

Data Mining Techniques; Intrusion Detection System; Mobile Agents

Indexed keywords

COMPUTER CRIME; DATA MINING; INTRUSION DETECTION; NETWORK SECURITY;

DESIRABLE FEATURES; DISTRIBUTED ATTACK; DISTRIBUTED IDS; HIGH-ACCURACY; INTRUSION DETECTION SYSTEMS;

MOBILE AGENTS;

EID: 77954646041     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13601-6_9     Document Type: Conference Paper

References (2)

1. Ben Yahia, S., Gasmi, G., Mephu Nguifo, E.: A New Generic Basis of Factual and Implicative Association rules. Intelligent Data Analysis (IDA) 13(4), 633-656 (2009)
2. Jaisankar, N., Saravanan, R., Swamy, K.D.: Intelligent Intrusion Detection System Framework using Mobile Agents. International Journal of Network Security and its Applications (IJNSA) 1(2), 72-88 (2009)