On the asymptotic behavior of malware-propagative mobile ad hoc networks

Karyotis, V; Grammatikou, M; Papavassiliou, S

dc.contributor.author	Karyotis, V	en
dc.contributor.author	Grammatikou, M	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T02:44:52Z
dc.date.available	2014-03-01T02:44:52Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31985
dc.subject	Ad Hoc Network	en
dc.subject	Closed Queueing Network	en
dc.subject	Critical Parameter	en
dc.subject	Mobile Ad Hoc Network	en
dc.subject	Probabilistic Model	en
dc.subject	Steady State	en
dc.subject	Susceptible Infected Susceptible	en
dc.subject.other	Asymptotic analysis	en
dc.subject.other	Computer crime	en
dc.subject.other	Probability	en
dc.subject.other	Queueing networks	en
dc.subject.other	Queueing theory	en
dc.subject.other	Sensors	en
dc.subject.other	Stochastic models	en
dc.subject.other	Switching circuits	en
dc.subject.other	Telecommunication networks	en
dc.subject.other	Wireless networks	en
dc.subject.other	Wireless telecommunication systems	en
dc.subject.other	Ad-hoc networking	en
dc.subject.other	Analytical results	en
dc.subject.other	Asymptotic behaviors	en
dc.subject.other	Closed queueing networks	en
dc.subject.other	Critical parameters	en
dc.subject.other	Malicious nodes	en
dc.subject.other	Malicious software	en
dc.subject.other	Malware	en
dc.subject.other	Mobile Ad-Hoc Networks	en
dc.subject.other	Number of nodes	en
dc.subject.other	Probabilistic model	en
dc.subject.other	Sensor systems	en
dc.subject.other	Steady-state behaviors	en
dc.subject.other	Stochastic behavior	en
dc.subject.other	Susceptible-infected-susceptible	en
dc.subject.other	Wireless environments	en
dc.subject.other	Ad hoc networks	en
dc.title	On the asymptotic behavior of malware-propagative mobile ad hoc networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MOBHOC.2007.4428662	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MOBHOC.2007.4428662	en
heal.identifier.secondary	4428662	en
heal.publicationDate	2007	en
heal.abstract	In this paper we study the spreading of malicious software over ad hoc networks, where legitimate nodes are prone to propagate the infections they receive from an attacker or their already infected neighbors. Considering the Susceptible-Infected-Susceptible (SIS) node infection paradigm we propose a probabilistic model, based on the theory of closed queueing networks, that aims at describing the aggregated behavior of the system when attacked by a malicious node. Due to its nature the model is able to deal more effectively with the stochastic behavior of the attacker and the inherent probabilistic nature of the wireless environment. The proposed model is able to describe accurately the asymptotic behavior of malware-propagative ad hoc networking environments, where the number of nodes is large. Using the Norton equivalent of the closed queueing network, we obtain analytical results for its steady state behavior, which in turn can be used to identify the critical parameters affecting the operation of the network. ©2007 IEEE.	en
heal.journalName	2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, MASS	en
dc.identifier.doi	10.1109/MOBHOC.2007.4428662	en