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Detecting resource consumption attack over MANET using an artificial immune algorithm.

Abdelhaq , M. and Hassan , R. and Ismail, M. and Israf, D. (2011) Detecting resource consumption attack over MANET using an artificial immune algorithm. Research Journal of Applied Sciences, Engineering and Technology, 3 (9). pp. 1026-1033. ISSN 2040-7459; ESSN:2040-7467

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Abstract

The Human Immune System (HIS) is considered as a bank of models, functions, and concepts from where Artificial Immune algorithms are inspired. These algorithms are used to secure both host-based and network-based systems. However, it is not only important to utilize the HIS in producing AIS-based algorithms as much as it is important to introduce an algorithm with high performance. Therefore, creating a balance between utilizing HIS on one side and introducing the required AIS-based intrusion detection algorithm on the other side is a crucial issue which would be valuable to investigate. Securing the mobile ad hoc network (MANET) which is a collection of mobile, decentralized, and self organized nodes is another problem, which adds more challenges to the research. This is because MANET properties make it harder to be secured than the other types of static networks. We claim that AISs' properties such as being self-healing, self-defensive and self-organizing can meet the challenges of securing the MANET environment. This paper's objective is to utilize the biological model used in the dendritic cell algorithm (DCA) to introduce a Dendritic Cell Inspired Intrusion Detection Algorithm (DCIIDA). DCIIDA is introduced to detect the Resource Consumption Attack (RCA) over MANET. Furthermore, this study proposes a DCIIDA architecture which should be applied by each node in MANET.

Item Type:Article
Keyword:Artificial immune system; Attack; Dendritic cell algorithm; Denial of service attack; Mobile ad hoc networks; Resource consumption danger theory.
Faculty or Institute:Faculty of Medicine and Health Science
Publisher:Maxwell Science Publication
ID Code:24685
Deposited By: Nur Farahin Ramli
Deposited On:06 Sep 2013 11:09
Last Modified:08 Oct 2015 09:41

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