Title of article :
IMNTV-Identifying Malicious Nodes Using Trust Value in Wireless Sensor Networks
Author/Authors :
B H ، Swathi Vidyavardhaka College of Engineering , V ، Megha Vidyavardhaka College of Engineering , H L ، Gururaj Vidyavardhaka College of Engineering , M ، Hamsaveni Vidyavardhaka College of Engineering , V ، Janhavi Vidyavardhaka College of Engineering
Pages :
14
From page :
87
To page :
100
Abstract :
Security is the major area of concern in communication channel. Security is very crucial in wireless sensor networks which are deployed in remote environments. Adversary can disrupt the communication within multi hop sensor networks by launching the attack. The common attacks which disrupt the communication of nodes are packet dropping, packet modification, packet fake routing, badmouthing attack and Sybil attack. In this paper we considered these attacks and presented a solution to identify the attacks. Many approaches have been proposed to diminish these attacks, but very few methods can detect these attacks effectively. In this simple scheme, every node selects a parent node to forward the packet towards base station or sink. Each node append its unique identity and trust to the parent as a path marker. It encrypts the bytes using a secret key generated and shared among the sink. The encrypted packet is then forwarded to the parent node. Base station can identify the malicious nodes by using these unique identity and trust value.
Keywords :
WSN , Packet modification , Packet Dropping , Packet fake routing , bad mouthing attack
Journal title :
Journal of Advances in Computer Engineering and Technology
Serial Year :
2018
Journal title :
Journal of Advances in Computer Engineering and Technology
Record number :
2472783
Link To Document :
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