A Trust Model for Detecting Device Attacks in Mobile Ad Hoc Ambient Home Network
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Date
2016-06
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Advanced Pervasive and Ubiquitous Computing
Abstract
This study designed, simulated and evaluated the performance of a conceptual framework for
ambient ad hoc home network. This was with a view to detecting malicious nodes and securing the
home devices against attacks. The proposed framework, called mobile ambient social trust consists
of mobile devices and mobile ad hoc network as communication channel. The trust model for the
device attacks is Adaptive Neuro Fuzzy (ANF) that considered global reputation of the direct and
indirect communication of home devices and remote devices. The model was simulated using Matlab
7.0. In the simulation, NSL-KDD dataset was used as input packets, the artificial neural network
for packet classification and ANF system for the global trust computation. The proposed model was
benchmarked with an existing Eigen Trust (ET) model using detection accuracy and convergence
time as performance metrics. The simulation results using the above parameters revealed a better
performance of the ANF over ET model. The framework will secure the home network against
unforeseen network disruption and node misbehavior.
Description
International Journal of Advanced Pervasive and Ubiquitous Computing, Vol 2, p.17
Keywords
Ad Hoc Home Network, Adaptive Neuro Fuzzy, Ambient, Device Attacks, Trust Management