Evolutionary computation techniques for intrusion detection in mobile ad hoc networks

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

@Article{DBLP:journals/cn/SenC11,

• author = "Sevil Sen and John A. Clark",
• title = "Evolutionary computation techniques for intrusion detection in mobile ad hoc networks",
• journal = "Computer Networks",
• year = "2011",
• volume = "55",
• number = "15",
• pages = "3441--3457",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, MOGP, Mobile ad hoc networks, intrusion detection, evolutionary computation, multi-objective optimization, power-aware detection, cooperative security",
• timestamp = "Tue, 21 Mar 2023 21:08:30 +0100",
• biburl = "https://dblp.org/rec/journals/cn/SenC11.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "https://web.cs.hacettepe.edu.tr/~ssen/files/papers/CompNet.pdf",
• DOI = "doi:10.1016/J.COMNET.2011.07.001",
• size = "17 pages",
• abstract = "Intrusion detection on mobile ad hoc networks (MANETs) is difficult. This is because of their dynamic nature, the lack of central points, and their highly resource-constrained nodes. we explore the use of evolutionary computation techniques, particularly genetic programming and grammatical evolution, to evolve intrusion detection programs for such challenging environments. Cognizant of the particular importance of power efficiency we analyze the power consumption of evolved programs and employ a multi-objective evolutionary algorithm to discover optimal trade-offs between intrusion detection ability and power consumption.",

}

Genetic Programming entries for Sevil Sen John A Clark

Citations