Malware-propagative mobile ad hoc networks: Asymptotic behavior analysis

Karyotis, V; Kakalis, A; Papavassiliou, S

dc.contributor.author	Karyotis, V	en
dc.contributor.author	Kakalis, A	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T01:28:44Z
dc.date.available	2014-03-01T01:28:44Z
dc.date.issued	2008	en
dc.identifier.issn	1000-9000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18945
dc.subject	Closed queuing networks	en
dc.subject	Infection efficiency	en
dc.subject	Wireless ad hoc networks	en
dc.subject.classification	Computer Science, Hardware & Architecture	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Closed queuing networks	en
dc.subject.other	Infection efficiency	en
dc.subject.other	Multiple attackers	en
dc.subject.other	Computer software	en
dc.subject.other	Mathematical models	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Queueing networks	en
dc.subject.other	Ad hoc networks	en
dc.title	Malware-propagative mobile ad hoc networks: Asymptotic behavior analysis	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s11390-008-9141-z	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s11390-008-9141-z	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	In this paper, the spreading of malicious software over ad hoc networks, where legitimate nodes are prone to propagate the infections they receive from either an attacker or their already infected neighbors, is analyzed. Considering the Susceptible-Infected-Susceptible (SIS) node infection paradigm we propose a probabilistic model, on the basis of the theory of closed queuing networks, that aims at describing the aggregated behavior of the system when attacked by malicious nodes. Because of its nature, the model is also able to deal more effectively with the stochastic behavior of attackers and the inherent probabilistic nature of the wireless environment. The proposed model is able to describe accurately the asymptotic behavior of malware-propagative large scale ad hoc networking environments. Using the Norton equivalent of the closed queuing network, we obtain analytical results for its steady state behavior, which in turn is used for identifying the critical parameters affecting the operation of the network. Finally, through modeling and simulation, some additional numerical results are obtained with respect to the behavior of the system when multiple attackers are present, and regarding the time-dependent evolution and impact of an attack. © 2008 Science Press, Beijing, China and Springer Science + Business Media, LLC, USA.	en
heal.publisher	SCIENCE CHINA PRESS	en
heal.journalName	Journal of Computer Science and Technology	en
dc.identifier.doi	10.1007/s11390-008-9141-z	en
dc.identifier.isi	ISI:000255955800008	en
dc.identifier.volume	23	en
dc.identifier.issue	3	en
dc.identifier.spage	389	en
dc.identifier.epage	399	en