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Real Time Intrusion and Wormhole Attack Detection in Internet of Things
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 121 - Number 9 |
| Year of Publication: 2015 |
| Authors: Pavan Pongle, Gurunath Chavan |
10.5120/21565-4589
|
Pavan Pongle, Gurunath Chavan . Real Time Intrusion and Wormhole Attack Detection in Internet of Things. International Journal of Computer Applications. 121, 9 ( July 2015), 1-9. DOI=10.5120/21565-4589
Abstract
There are currently more objects connected to the Internet than people in the world. This gap will continue to grow, as more objects gain the ability to directly interface with the Internet. Providing security in IoT is challenging as the devices are resource constrained, the communication links are lossy, and the devices use a set of novel IoT technologies such as RPL and 6LoWPAN. Due to this it is easy to attack in IoT network. The proposed system is a novel intrusion detection system for the IoT, which is capable of detecting Wormhole attack and attacker. The proposed methods uses the location information of node and neighbor information to identify the Wormhole attack and received signal strength to identify attacker nodes. Design of such system will help in securing the IoT network and may prevents such attacks. This method is very energy efficient and only takes fixed number of UDP packets for attack detection, hence it is beneficial for resource constrained environment.
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