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Article Information:
Detecting Resource Consumption Attack over MANET using an Artificial Immune Algorithm
Maha Abdelhaq, Rosilah Hassan, Mahamod Ismail and Daud Israf
Corresponding Author: Maha Abdelhaq
Submitted: 2011 July, 26
Accepted: 2011 September, 05
Published: 2011 September, 20 |
Abstract:
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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 paper proposes a DCIIDA architecture which should be applied by
each node in MANET.
Key words: Artificial immune system, attack, dendritic cell algorithm, denial of service attack, mobile ad hoc networks, resource consumption danger theory,
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Cite this Reference:
Maha Abdelhaq, Rosilah Hassan, Mahamod Ismail and Daud Israf, . Detecting Resource Consumption Attack over MANET using an Artificial Immune Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (09): 1026-1033.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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