Detection Of Malicious Nodes in Flying Ad-HOC Networks (FANET)
|International Journal of Electronics and Communication Engineering|
|© 2018 by SSRG - IJECE Journal|
|Volume 5 Issue 9|
|Year of Publication : 2018|
|Authors : Eti Walia, Vinay Bhatia and Gurdeep Kaur|
How to Cite?
Eti Walia, Vinay Bhatia and Gurdeep Kaur, "Detection Of Malicious Nodes in Flying Ad-HOC Networks (FANET)," SSRG International Journal of Electronics and Communication Engineering, vol. 5, no. 9, pp. 6-12, 2018. Crossref, https://doi.org/10.14445/23488549/IJECE-V5I9P102
The usage of Unmanned Aerial Vehicles (UAV) is increasing each day. The UAV network is the decentralized and self - configuring network in which nodes can join or leave the network any time. Security is the biggest challenge in flying ad-hoc networks (FANETs). In Sybil attack, FANET is unstable by malicious nodes which create fake identities. In this paper, a mutual authentication technique is proposed to detect Sybil attack in network. . A multiple copies of fake identities create by Sybil attack which is harmful for the network. Malicious nodes flood the wrong information in the network that degrades the network performance. In this paper, simulation results show the mutual authentication scheme is used to trigger the Sybil attack in network.
VANET, FANET, malicious node, Sybil attack, UAV to UAV communication
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