An Empirical Model of Malicious Node Detection and Prevention with Data Rating

Provided by: International Journal of Engineering Trends and Technology
Topic: Networking
Format: PDF
Identification and prevention of malicious nodes is always an interesting research issue in wireless sensor networks. In this paper, the authors are proposing an efficient approach for identification of anonymous or malicious node with signature and data rating techniques. Initially every node can be verified genuine or malicious node with signature mechanism and only genuine nodes can communicate with each other based on the data ratings of intermediate nodes, priority given to the nodes based of the highest average data rating of in and out data packets and secure transmission of data can be done with triple DES cryptographic algorithm.

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