DocumentCode :
2211683
Title :
ATM: Automated Trust Management for Mobile Ad Hoc Networks Using Support Vector Machine
Author :
Li, Wenjia ; Joshi, Anupam ; Finin, Tim
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA
Volume :
1
fYear :
2011
fDate :
6-9 June 2011
Firstpage :
291
Lastpage :
292
Abstract :
Mobile Ad-hoc Networks (MANETs) are extremely susceptible to various misbehaviors and a variety of trust management schemes have been proposed to detect and mitigate them. Most schemes rely on a set of pre-defined weights to determine how the extent of each misbehavior is used to evaluate the trustworthiness. However, due to the extremely dynamic nature of MANETs, it is not possible to determine a set of weights that are appropriate for all contexts. In this paper, an Automated Trust Management (ATM) system is described for MANETs that uses a support vector machine classifier to detect malicious MANET nodes. The ATM scheme is resilient to attempts by a malicious MANET node to hide its nature by varying its misbehavior patterns over time. The performance of the ATM scheme is evaluated via an extensive simulation study and compared with existing approaches.
Keywords :
mobile ad hoc networks; pattern classification; support vector machines; telecommunication computing; telecommunication security; MANET; automated trust management; mobile ad-hoc network; support vector machine classifier; trust management scheme; Ad hoc networks; Asynchronous transfer mode; Mobile communication; Mobile computing; Security; Support vector machines; Training; mobile ad hoc network; security; support vector machine; trust management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Data Management (MDM), 2011 12th IEEE International Conference on
Conference_Location :
Lulea
Print_ISBN :
978-1-4577-0581-6
Electronic_ISBN :
978-0-7695-4436-6
Type :
conf
DOI :
10.1109/MDM.2011.21
Filename :
6068451
Link To Document :
بازگشت