Sequestration of Malevolent Anchor Nodes in Wireless Sensor Networks using Mahalanobis Distance
This addresses a security challenge for wireless sensor networks, but it is incremental as it builds on existing localization methods.
The paper tackles the problem of detecting malicious anchor nodes in wireless sensor networks by using a trilateration algorithm combined with Mahalanobis distance, achieving a considerable reduction in localization error.
Discovering the malicious or vulnerable anchor node is an essential problem in wireless sensor networks (WSNs). In wireless sensor networks, anchor nodes are the nodes that know its current location. Neighbouring nodes or non-anchor nodes calculate its location coordinate (or location reference) with the help of anchor nodes. Ingenuous localization is not possible in the presence of a cheating anchor node or a cheating node. Nowadays, its a challenging task to identify the cheating anchor node or cheating node in a network. Even after finding out the location of the cheating anchor node, there is no assurance, that the identified node is legitimate or not. This paper aims to localize the cheating anchor nodes using trilateration algorithm and later associate it with Mahalanobis distance to obtain maximum accuracy in detecting malicious or cheating anchor nodes during localization. We were able to attain a considerable reduction in the error achieved during localization. For implementation purpose, we simulated our scheme using ns3 network simulator.