Comprehensive review of collaborative network attacks in MANET

Oluwafemi Tolulope Fasunlade*, Shikun Zhou, David Sanders

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper considers multiple network attacks in a Mobile Ad hoc Network (MANET). MANET is a type of network that does not require any infrastructure for nodes to communicate with each other. The general assumption in MANET is that each node is a trusted node. However, due to its lack of infrastructure and dynamic topology, the MANET is exposed to network layer attacks. In this paper, some of the network layer attacks such as the black hole attack, worm hole attack and gray hole attack are discussed. Frequent multiple network attacks are highlighted, and the identification of collaborative network attacks is discussed. There are several symptoms and observations in a network that signal the presence of an attack and some of the symptoms of these attacks will be highlighted. Finally, an analysis of existing multiple network attacks will be discussed, and the identification of prospective multiple network attacks is considered.
Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
EditorsW. K. Chan, Bill Claycomb, Hiroki Takakura, Ji-Jiang Yang, Yuuichi Teranishi
PublisherIEEE
Pages1542-1545
Number of pages4
ISBN (Electronic)978-1-7281-7303-0
ISBN (Print)978-1-7281-7304-7
DOIs
Publication statusPublished - 22 Sep 2020
Event2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) - Madrid, Spain
Duration: 13 Jul 202017 Jul 2020

Publication series

NameIEEE COMPSAC Proceedings Series
PublisherIEEE
ISSN (Print)0730-3157

Conference

Conference2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)
CountrySpain
CityMadrid
Period13/07/2017/07/20

Keywords

  • Computers
  • Software
  • MANET
  • AODV
  • blackhole
  • wormhole
  • gray hole

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