Journal of Applied Science and Engineering

Published by Tamkang University Press

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Ji Guo This email address is being protected from spambots. You need JavaScript enabled to view it.1,2, Alan Marshall3 and Bosheng Zhou1

1Institute of Electronics, Communications and Information Technology, Queens University Belfast, UK
2National University of Defense Technology, P.R. China
3Department of Electrical Engineering & Electronics, University of Liverpool, UK


 

Received: March 6, 2013
Accepted: October 14, 2013
Publication Date: March 1, 2014

Download Citation: ||https://doi.org/10.6180/jase.2014.17.1.07  


ABSTRACT


A new prediction model for mobile ad hoc networks (MANETs) is presented that applies multiple types of parameters to achieve much higher accuracy in detecting misbehaviour in MANETs than has previously been possible using current frameworks that rely exclusively on a single type of parameter to obtain their trust values. The prediction model applies a multi-parameter trust framework for MANETs (MTFM), based on Grey theory with Exponentially Weighted Moving-Averaging, to forecast a node’s normal trust value based on previous observations. A key feature of this model is its ability to calculate the possible range of normal trust values for the judgment of one node’s trust values. Simulations conducted in an 802.11 based MANET are presented, and the results obtained from the new prediction model are compared with those of existing trust models. These show that the new prediction model offers much better performance in detecting mobile nodes exhibiting misbehaviours.


Keywords: Trust Framework, Prediction Model, Misbehaviour Detection, MANET, Wireless Network Security


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