Risk-based attack strategies for mobile ad hoc networks under probabilistic attack modeling framework

Karyotis, V; Papavassiliou, S

dc.contributor.author	Karyotis, V	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T01:27:04Z
dc.date.available	2014-03-01T01:27:04Z
dc.date.issued	2007	en
dc.identifier.issn	1389-1286	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18329
dc.subject	Attack modeling	en
dc.subject	Mobile ad hoc networks	en
dc.subject	QoS	en
dc.subject	Security	en
dc.subject	Topology control	en
dc.subject.classification	Computer Science, Hardware & Architecture	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer simulation	en
dc.subject.other	Probabilistic logics	en
dc.subject.other	Quality of service	en
dc.subject.other	Security of data	en
dc.subject.other	Topology	en
dc.subject.other	Attack modeling	en
dc.subject.other	Probabilistic attack modeling	en
dc.subject.other	Topology control	en
dc.subject.other	Ad hoc networks	en
dc.title	Risk-based attack strategies for mobile ad hoc networks under probabilistic attack modeling framework	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.comnet.2007.01.028	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.comnet.2007.01.028	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	In this paper, we introduce and design a modeling framework that allows for the study and analysis of attack propagation in mobile ad hoc networks. The choice of a statistical approach for the problem is motivated by the dynamic characteristics of the ad hoc topology and the stochastic nature of threat propagation. Based on this probabilistic modeling framework, we study the impact of topology and mobility in the propagation of software threats over ad hoc networks. We design topology control algorithms that indicate how to properly adjust an attacker's transmission radius, according to the measured topological characteristics and availability of its resources, in the process of infecting a network more effectively. Then based on these topology control algorithms we develop different attack strategies that may range from independent attacks to cooperative scenarios in order to increase the negative impact of an attack on the network. Our performance evaluation results demonstrate that the proposed topology control algorithms and respective attack strategies effectively balance the tradeoffs between the potential network damage and the attackers' lifetime, and as a result significantly outperform any other flat and threshold-based approaches. (C) 2007 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Computer Networks	en
dc.identifier.doi	10.1016/j.comnet.2007.01.028	en
dc.identifier.isi	ISI:000246834300017	en
dc.identifier.volume	51	en
dc.identifier.issue	9	en
dc.identifier.spage	2397	en
dc.identifier.epage	2410	en