Securing mobile ad hoc networks using danger theory-based artificial immune algorithm

Maha Abdelhaq, Raed Alsaqour, Shawkat Abdelhaq

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A mobile ad hoc network (MANET) is a set of mobile, decentralized, and self-organizing nodes that are used in special cases, such as in the military. MANET properties render the environment of this network vulnerable to different types of attacks, including black hole, wormhole and flooding-based attacks. Flooding-based attacks are one of the most dangerous attacks that aim to consume all network resources and thus paralyze the functionality of the whole network. Therefore, the objective of this paper is to investigate the capability of a danger theory-based artificial immune algorithm called the mobile dendritic cell algorithm (MDCA) to detect flooding-based attacks in MANETs. The MDCA applies the dendritic cell algorithm (DCA) to secure the MANET with additional improvements. The MDCA is tested and validated using Qualnet v7.1 simulation tool. This work also introduces a new simulation module for a flooding attack called the resource consumption attack (RCA) using Qualnet v7.1. The results highlight the high efficiency of the MDCA in detecting RCAs in MANETs.

Original languageEnglish
Article numbere0120715
JournalPLoS One
Volume10
Issue number5
DOIs
Publication statusPublished - 6 May 2015

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Mobile ad hoc networks
dendritic cells
Dendritic Cells
Paralysis

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Securing mobile ad hoc networks using danger theory-based artificial immune algorithm. / Abdelhaq, Maha; Alsaqour, Raed; Abdelhaq, Shawkat.

In: PLoS One, Vol. 10, No. 5, e0120715, 06.05.2015.

Research output: Contribution to journalArticle

Abdelhaq, Maha ; Alsaqour, Raed ; Abdelhaq, Shawkat. / Securing mobile ad hoc networks using danger theory-based artificial immune algorithm. In: PLoS One. 2015 ; Vol. 10, No. 5.
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