MLAMAN: a novel multi-level authentication model and protocol for preventing wormhole attack in mobile ad hoc network

Vo, TT; Luong, NT; Hoang, D

MLAMAN: a novel multi-level authentication model and protocol for preventing wormhole attack in mobile ad hoc network

Vo, TT Luong, NT Hoang, D

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Publication Type:: Journal Article
Citation:: Wireless Networks, 2019, 25 (7), pp. 4115 - 4132
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Vo, TT	en_US
dc.contributor.author	Luong, NT	en_US
dc.contributor.author	Hoang, D https://orcid.org/0000-0003-1798-4926	en_US
dc.date.available	2020-05-25T19:15:30Z
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	Wireless Networks, 2019, 25 (7), pp. 4115 - 4132	en_US
dc.identifier.issn	1022-0038	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129207
dc.description.abstract	© 2018, Springer Science+Business Media, LLC, part of Springer Nature. Wormhole attack is a serious security issue in Mobile Ad hoc Network where malicious nodes may distort the network topology and obtain valuable information. Many solutions, based on round trip time, packet traversal time, or hop-count, have been proposed to detect wormholes. However, these solutions were only partially successful in dealing with node high-speed mobility, variable tunnel lengths, and fake information by malicious nodes. To address those issues, this paper proposes a novel multi-level authentication model and protocol (MLAMAN) for detecting and preventing wormhole attacks reliably. MLAMAN allows all intermediate nodes to authenticate control packets on a hop-by-hop basis and at three levels: (1) the packet level where the integrity of the packets can be verified, (2) the node membership level where a public key holder-member can be certified, and (3) the neighborhood level where the neighborhood relationship between nodes can be determined. The novelty of the model is that it prevents malicious nodes from joining the network under false information and pretense. It detects wormhole nodes effectively under various scenarios including variable tunnel lengths and speeds of moving nodes. The effectiveness of our approach is confirmed by simulation results through various scenarios.	en_US
dc.relation.ispartof	Wireless Networks	en_US
dc.relation.isbasedon	10.1007/s11276-018-1734-z	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	MLAMAN: a novel multi-level authentication model and protocol for preventing wormhole attack in mobile ad hoc network	en_US
dc.type	Journal Article
utslib.citation.volume	7	en_US
utslib.citation.volume	25	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
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/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.issue	7	en_US
pubs.publication-status	Published	en_US
pubs.volume	25	en_US

Abstract:

© 2018, Springer Science+Business Media, LLC, part of Springer Nature. Wormhole attack is a serious security issue in Mobile Ad hoc Network where malicious nodes may distort the network topology and obtain valuable information. Many solutions, based on round trip time, packet traversal time, or hop-count, have been proposed to detect wormholes. However, these solutions were only partially successful in dealing with node high-speed mobility, variable tunnel lengths, and fake information by malicious nodes. To address those issues, this paper proposes a novel multi-level authentication model and protocol (MLAMAN) for detecting and preventing wormhole attacks reliably. MLAMAN allows all intermediate nodes to authenticate control packets on a hop-by-hop basis and at three levels: (1) the packet level where the integrity of the packets can be verified, (2) the node membership level where a public key holder-member can be certified, and (3) the neighborhood level where the neighborhood relationship between nodes can be determined. The novelty of the model is that it prevents malicious nodes from joining the network under false information and pretense. It detects wormhole nodes effectively under various scenarios including variable tunnel lengths and speeds of moving nodes. The effectiveness of our approach is confirmed by simulation results through various scenarios.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/128861