Detection and isolation of black hole attack in mobile ad hoc networks: A review

Nagasubramanian, G; Sakthivel, RK; Patan, R; Ehtemami, A; Meyer-Baese, A; Tahmassebi, A; Gandomi, AH

Detection and isolation of black hole attack in mobile ad hoc networks: A review

Nagasubramanian, G Sakthivel, RK Patan, R Ehtemami, A Meyer-Baese, A Tahmassebi, A Gandomi, AH

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Publisher:: SPIE-INT SOC OPTICAL ENGINEERING
Publication Type:: Conference Proceeding
Citation:: Proceedings of SPIE - The International Society for Optical Engineering, 2020, 11419
Issue Date:: 2020-01-01

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Field	Value	Language
dc.contributor.author	Nagasubramanian, G
dc.contributor.author	Sakthivel, RK
dc.contributor.author	Patan, R
dc.contributor.author	Ehtemami, A
dc.contributor.author	Meyer-Baese, A
dc.contributor.author	Tahmassebi, A
dc.contributor.author	Gandomi, AH
dc.contributor.editor	Blowers, M
dc.contributor.editor	Hall, RD
dc.contributor.editor	Dasari, VR
dc.date	2020-04-27
dc.date.accessioned	2021-02-02T04:35:09Z
dc.date.available	2021-02-02T04:35:09Z
dc.date.issued	2020-01-01
dc.identifier.citation	Proceedings of SPIE - The International Society for Optical Engineering, 2020, 11419
dc.identifier.isbn	9781510636156
dc.identifier.issn	0277-786X
dc.identifier.issn	1996-756X
dc.identifier.uri	http://hdl.handle.net/10453/145729
dc.description.abstract	© 2020 SPIE. Mobile Ad hoc Network or MANET is a wireless network that allows communication between the nodes that are in range of each other and are self-configuring. The distributed administration and dynamic nature of MANET makes it vulnerable to many kind of security attacks. One such attack is Black hole attack which is a well known security threat. A node drops all packets which it should forward, by claiming that it has the shortest path to the destination. Intrusion Detection system identifies the unauthorized users in the system. An IDS collects and analyses audit data to detect unauthorized users of computer systems. This paper aims in identifying Black-Hole attack against AODV with Intrusion Detection System, to analyze the attack and find its countermeasure.
dc.language	en
dc.publisher	SPIE-INT SOC OPTICAL ENGINEERING
dc.relation.ispartof	Proceedings of SPIE - The International Society for Optical Engineering
dc.relation.ispartof	Conference on Disruptive Technologies in Information Sciences IV
dc.relation.ispartofseries	Proceedings of SPIE
dc.relation.isbasedon	10.1117/12.2557080
dc.rights	Copyright 2020 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Detection and isolation of black hole attack in mobile ad hoc networks: A review
dc.type	Conference Proceeding
utslib.citation.volume	11419
utslib.location.activity	ELECTR NETWORK
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2021-02-02T04:35:03Z
pubs.finish-date	2020-05-01
pubs.publication-status	Published
pubs.start-date	2020-04-27
pubs.volume	11419

Abstract:

© 2020 SPIE. Mobile Ad hoc Network or MANET is a wireless network that allows communication between the nodes that are in range of each other and are self-configuring. The distributed administration and dynamic nature of MANET makes it vulnerable to many kind of security attacks. One such attack is Black hole attack which is a well known security threat. A node drops all packets which it should forward, by claiming that it has the shortest path to the destination. Intrusion Detection system identifies the unauthorized users in the system. An IDS collects and analyses audit data to detect unauthorized users of computer systems. This paper aims in identifying Black-Hole attack against AODV with Intrusion Detection System, to analyze the attack and find its countermeasure.

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http://hdl.handle.net/10453/145729