DocumentCode
266816
Title
Modeling and verification tools for jamming attacks in VANETs
Author
Ben-Othman, Jalel ; Mokdad, Lynda
Author_Institution
Lab. L2TI, Univ. of Paris 13, Paris, France
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
4562
Lastpage
4567
Abstract
Researchers have payed more and more attention on security issues in wireless networks this last decade as those networks are exposed to Denial of Service (DoS) attacks. Last improvements of the wireless technologies has developed the possibility to cars to communicate with Vehicular Ad Hoc networks more known as VANET. In these networks the impact of DoS is more important as it can affect the life of passengers. The features of DoS attacks are not well known in VANETs, thus we propose in this study a new Analytical model that represents the behavior of jamming attack in VANETS. This DoS attack consists of a node that disturb/disrupt the communications between nodes, then the overall quality of service is decreased. Representing this attack by analytical model using Markov chains is impossible as we face a problem of a state space explosion, thus we have used a more appropriate concept that is not usually used in the security in wireless networks with Stochastic Automata Networks. This model was used to calculate the rewards of this attack and can be used to decide whether a network is under or not a DoS attack.
Keywords
Markov processes; computer network security; formal verification; quality of service; vehicular ad hoc networks; DoS attack; Markov chains; VANET; denial-of-service attacks; jamming attacks; modeling tools; quality-of-service; security issues; state space explosion problem; vehicular ad hoc networks; verification tools; wireless networks; wireless technologies; Automata; Jamming; Stochastic processes; Storage area networks; Synchronization; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037527
Filename
7037527
Link To Document