A Heider-Theory Based Reputation Framework for WSN

The conventional security mechanism based on cryptography and authentication is not sufficient for countering all types of security problems resulting from internal malicious nodes and wrong act resulting from hardware breakdown and resources loss. The construction of a reputation based trustworthy sensor networks has recently become a hot point of making up for the shortcoming of conventional security mechanism. Firstly, a familiar reputation-based framework for sensor networks (RFSN) is presented, and problems caused by trust computing in the unreliable wireless channel are analyzed. Secondly, A Heider-theory based reputation framework for sensor networks (HRFSN) is presented for improving on RFSN using Heider theory. A node communicating with another node is observed by the mutual neighbor nodes of them, optimizing the calculation of direct reputation value when the channel is unreliable and enhancing the reliability of trust value. Finally, according to simulation analysis, the HRFSN framework can get more exact direct reputation value and dependable trust value than the RFSN framework. At the same time, this framework can maintain its resiliency against bad mouthing attacks and collusion attacks toward the recommended results.