Game Theory Model for Intrusion Detection in WSN using Hierarchical Trust Management
(*) Corresponding author
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)
In Wireless Sensor Networks (WSN), the existing attack detection consumes more time and inaccurate as well. Also, the process of estimating trusted node prior to data transmission is inefficient. Hence in this paper, we propose a game theory model for intrusion detection in WSN using Hierarchical Trust Management. In this technique, the peer-to-peer trust evaluation method is implemented using anomaly based intrusion detection system that includes trust component such as intimacy, honesty, energy, unselfishness, average SNR, minimum SNR, and max-minus-min SNR to determine the reliable node. In order to detect the probability of malicious node, game theory is applied. In this approach, intrusion detection system and intruders are non-cooperative players. The intruder maximizes its benefits by destroying the functionality of the system and the protector tries to protect the facility. By simulation results, we show that the proposed technique enhances the network security
Copyright © 2014 Praise Worthy Prize - All rights reserved.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2024 Praise Worthy Prize