Ad Hoc On-demand Distance Vector Inherent Techniques Comparison for Detecting and Eliminating the Black Hole Attack Nodes in Mobile Ad Hoc Network

Qasmarrogy, Ghassan Amanuel and Almashhadani, Yazen Saifaldeen (2020) Ad Hoc On-demand Distance Vector Inherent Techniques Comparison for Detecting and Eliminating the Black Hole Attack Nodes in Mobile Ad Hoc Network. Cihan University-Erbil Scientific Journal, 4 (1). pp. 77-81. ISSN 2519-6979

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Abstract

It is important to connect wirelessly a group of moving mobile nodes together in a static or dynamic form, to transfer digital data between them, this form known as a mobile ad hoc network. This private network can be used in different essential situations where it depends on each connected mobile node to deliver and pass the data between them, without any fixed access point or router. Unfortunately, there are different types of attacks that can affect these nodes, and steal or corrupt the data inside, one of these attacks called the black hole attack. In this paper, a compared study will be done between two major innovative techniques derived from the ad hoc on-demand distance vector routing protocol to avoid the black hole attack; the paper will compare the two techniques in delay, throughput and packet dropping efficacy.

Item Type: Article
Uncontrolled Keywords: Black Hole Attack, Extended Data Routing Rnformation Technique, Mobile ad hoc Network, Secure ad hoc on-demand Distance Vector Routing Protocol, Trusted ad hoc on-demand Distance Vector
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Department of Communication and Computer Engineering > Research papers
Depositing User: ePrints Depositor
Date Deposited: 09 Oct 2024 09:49
Last Modified: 09 Oct 2024 09:49
URI: https://eprints.cihanuniversity.edu.iq/id/eprint/1525

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