Malware propagations in wireless Ad Hoc networks

Liu, B; Zhou, W; Gao, L; Zhou, H; Luan, TH; Wen, S

Malware propagations in wireless Ad Hoc networks

Liu, B

Zhou, W

Gao, L Zhou, H Luan, TH Wen, S

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Dependable and Secure Computing, 2018, 15 (6), pp. 1016 - 1026
Issue Date:: 2018-11-01

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Field	Value	Language
dc.contributor.author	Liu, B https://orcid.org/0000-0002-3603-6617	en_US
dc.contributor.author	Zhou, W https://orcid.org/0000-0002-1680-2521	en_US
dc.contributor.author	Gao, L	en_US
dc.contributor.author	Zhou, H	en_US
dc.contributor.author	Luan, TH	en_US
dc.contributor.author	Wen, S	en_US
dc.date.issued	2018-11-01	en_US
dc.identifier.citation	IEEE Transactions on Dependable and Secure Computing, 2018, 15 (6), pp. 1016 - 1026	en_US
dc.identifier.issn	1545-5971	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133109
dc.description.abstract	© 2004-2012 IEEE. Accurate malware propagation modeling in wireless ad hoc networks (WANETs) represents a fundamental and open research issue which shows distinguished challenges due to complicated access competition, severe channel interference, and dynamic connectivity. As an effort towards the issue, in this paper, we investigate the malware propagation under two spread schemes including Unicast and Broadcast, in Spread Mode and Communication Mode, respectively. We highlight our contributions in three-fold in the light of previous literature works. First, a bound of malware infection rate for each scheme is provided by applying the wireless network capacity theories. Second, the impact of mobility on malware propagations has been studied. Third, discussion of the relationship between different schemes and practical applications is provided. Numerical simulations and detailed performance analysis show that the Broadcast Scheme with Spread Mode is most dangerous in the sense of malware propagation speed in WANETs, and mobility will greatly increase the risk further. The results achieved in this paper not only provide insights on the malware propagation characteristics in WANETs, but also serve as fundamental guidelines on designing defense schemes.	en_US
dc.relation.ispartof	IEEE Transactions on Dependable and Secure Computing	en_US
dc.relation.isbasedon	10.1109/TDSC.2016.2642191	en_US
dc.subject.classification	Strategic, Defence & Security Studies	en_US
dc.title	Malware propagations in wireless Ad Hoc networks	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	15	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	0804 Data Format	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 Computer Science
utslib.copyright.status	closed_access
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	15	en_US

Abstract:

© 2004-2012 IEEE. Accurate malware propagation modeling in wireless ad hoc networks (WANETs) represents a fundamental and open research issue which shows distinguished challenges due to complicated access competition, severe channel interference, and dynamic connectivity. As an effort towards the issue, in this paper, we investigate the malware propagation under two spread schemes including Unicast and Broadcast, in Spread Mode and Communication Mode, respectively. We highlight our contributions in three-fold in the light of previous literature works. First, a bound of malware infection rate for each scheme is provided by applying the wireless network capacity theories. Second, the impact of mobility on malware propagations has been studied. Third, discussion of the relationship between different schemes and practical applications is provided. Numerical simulations and detailed performance analysis show that the Broadcast Scheme with Spread Mode is most dangerous in the sense of malware propagation speed in WANETs, and mobility will greatly increase the risk further. The results achieved in this paper not only provide insights on the malware propagation characteristics in WANETs, but also serve as fundamental guidelines on designing defense schemes.

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http://hdl.handle.net/10453/133109