Power-Aware Intrusion Detection in Mobile Ad Hoc Networks

Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion detection systems (IDS) are ineffective and inefficient for highly dynamic and resourceconstrained environments. Achieving an effective operational MANET requires tradeoffs to be made between functional and non-functional criteria. In this paper we show how Genetic Programming (GP) together with a Multi-Objective Evolutionary Algorithm (MOEA) can be used to synthesise intrusion detection programs that make optimal tradeoffs between security criteria and the power they consume. Key words: Mobile ad hoc networks, intrusion detection, power-aware, evolutionary computation, genetic programming, multi-objective optimization.

• Type: Conference
• Year: 2009
• Where: ADHOCNETS
• Authors: Sevil Sen, John A. Clark, Juan E. Tapiador
• Keywords: ADHOCNETS 2009, Conventional Intrusion Detection, Intrusion Detection, Mobile Ad Hoc Networks