MEPIDS: Multi-Expression Programming for Intrusion Detection System

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/iwinac/GrosanAH05,

• title = "{MEPIDS}: Multi-Expression Programming for Intrusion Detection System",
• author = "Crina Grosan and Ajith Abraham and Sang-Yong Han",
• year = "2005",
• booktitle = "Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Proceedings, Part II",
• editor = "Jose Mira and Jose R. Alvarez",
• volume = "3562",
• series = "Lecture Notes in Computer Science",
• pages = "163--172",
• address = "Las Palmas, Canary Islands, Spain",
• publisher_address = "Berlin / Heidelberg",
• month = jun # " 15-18",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• bibdate = "2005-06-15",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/iwinac/iwinac2005-2.html#GrosanAH05",
• ISBN = "3-540-26319-5",
• ISSN = "0302-9743",
• URL = "http://www.cs.ubbcluj.ro/~cgrosan/iwinac05.pdf",
• DOI = "doi:10.1007/11499305_17",
• size = "10 pages",
• abstract = "An Intrusion Detection System (IDS) is a program that analyses what happens or has happened during an execution and tries to find indications that the computer has been misused. An IDS does not eliminate the use of preventive mechanism but it works as the last defensive mechanism in securing the system. This paper evaluates the performances of Multi-Expression Programming (MEP) to detect intrusions in a network. Results are then compared with Linear Genetic Programming (LGP) approach. Empirical results clearly show that genetic programming could play an important role in designing light weight, real time intrusion detection systems.",

}

Genetic Programming entries for Crina Grosan Ajith Abraham Sang Yong Han

Citations