DocumentCode :
1890015
Title :
DoS attack detection in Internet-connected vehicles
Author :
Soryal, Joseph ; Saadawi, Tarek
Author_Institution :
Electr. Eng. Dept., City Univ. of New York, New York, NY, USA
fYear :
2013
fDate :
2-6 Dec. 2013
Firstpage :
7
Lastpage :
13
Abstract :
The paper presents a light weight technique to detect the Denial of Service (DoS) behavior applied by malicious users in Internet-connected vehicles using Wi-Fi to access the Internet via hotspots installed on the roads. Malicious nodes manipulate the IEEE 802.11 DCF standards to illegally gain extra throughput and increase the probability of having a successful packet transmission on the expense of the honest users that follow the protocol standards. The theoretical network throughput is derived using two-dimensional Markov Chain to determine the network capacity. Results obtained by the theoretical computations are validated by network simulation to determine the baseline for the maximum achievable throughput in the network under fair conditions where all nodes follow the IEEE standards. An approach is presented to enable all the nodes in IEEE 802.11 network with a mechanism to detect and identify the malicious nodes in a distributed environment. Results are presented to prove the effectiveness and feasibility of the proposed algorithm.
Keywords :
IEEE standards; Markov processes; computer network security; protocols; vehicular ad hoc networks; wireless LAN; DoS attack detection; IEEE 802.11 DCF standards; IEEE 802.11 network; IEEE standards; Internet-connected vehicles; Wi-Fi; denial of service behavior; distributed environment; honest users; malicious node detection; malicious node identification; malicious users; maximum throughput; network capacity; network simulation; packet transmission; protocol standards; two-dimensional Markov Chain; Computer crime; IEEE 802.11 Standards; Markov processes; Protocols; Throughput; Vehicles; Attack Detection; IEEE 802.11; Internet-connected Vehicles; Wireless Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/ICCVE.2013.6799761
Filename :
6799761
Link To Document :
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