Paper Info
Title
Eliminating routing protocol anomalies in wireless sensor networks using AI techniques
Abstract
The specific nature of routing in sensor networks has made possible new sorts of attacks that can have closer insight and effect on the networks packets, the most important being the packet tampering. Routing attacks on the network level are the first step in tampering with the packets. In this work we propose a solution for detecting and eliminating these attacks that couples reputation systems with clustering techniques, namely unsupervised genetic algorithm and self-organizing maps, trained for detecting outliers in data. The algorithms use the feature space based on sequences of routing hops that provides ability of detecting wide range of attacks. We further present a flexible way of integrating the solution into targeted sensor network that can easily adapt its computational requirements to the existing network resources. The solution offers many benefits: scalable solution, fast response to adversarial activities, ability to detect unknown attacks, high adaptability, flexible integration, and high ability in detecting and confining attacks.
Year
DOI
Venue
2010
10.1145/1866423.1866426
AISec
Keywords
Field
DocType
targeted sensor network,flexible integration,network level,high ability,existing network resource,wireless sensor network,routing attack,routing protocol anomaly,sensor network,ai technique,scalable solution,networks packet,high adaptability,outlier detection,routing protocols,feature space,genetic algorithm,wireless sensor networks,routing protocol
Link-state routing protocol,Dynamic Source Routing,Static routing,Network packet,Computer network,Wireless Routing Protocol,Engineering,Wireless sensor network,Scalability,Distributed computing,Routing protocol
Conference
Citations 
PageRank 
References 
3
0.41
8
Authors
5
Name
Order
Citations
PageRank
Zorana Banković111216.91
Juan Carlos Vallejo2557.62
Pedro MalagóN35813.59
Álvaro Araujo413519.71
José M. Moya5365.04