BibTeX:

@article{IJIRSTV4I11006,
     title={Malicious Node Detection and Deletion in Energy Efficient Wireless Sensor Networks},
     author={Gowri P and Geetha K},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={11},
     pages={31--37},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I11006.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Due to the malicious activities of nodes such as behavioral change of node and malicious activities, Wireless Sensor network may face a critical issue. Scale free wireless sensor network are important because they tolerate random attacks very well. However they can be vulnerable to malicious attacks, which particularly target certain important nodes. To address this problem, both routing and secured communication protocols should be enforced to provide full protection for every node in a communication network. This paper is going to explore the activities of sensor of sensor node architecture. The performances of existing path identification approaches, however, degrade rapidly in large scale networks with lossy links. This paper presents intelligent route identification scheme (IRIS), a robust path evaluation method against poor performance of node construction works. Proposed system can be implemented even when the hacking or node failure occurs in sensor networks. The Robot Detection mechanism is used to detect the malicious nodes and remove the malicious nodes in the network. This proposed mechanism is provide efficient data transmission.

Wireless Sensor Networks, IRIS, X-Hop Neighbors