Detection and prevention of black hole attack in RPL protocol based on the threshold value of nodes in the internet of things networks

Abstract

Due to the technology of IOT the human daily life services were became easier. With this technology the scalability will become very more to handle this kind of networks 6LOWPAN protocol was used, In this 6LOWPAn networks the RPL protocol was used to route the packets. The RPL protocol is constrain protocol particularly suits for the constrain node. Due to this constrain behavior this protocol may leads to many attacks. The attacks may be a black hole, wormhole, sinkhole etc. This paper was focused on Black hole attack. The black hole attack was simulated in the Contiki cooja simulator and proposed an detection approach based on the threshold value of each node in the network, to this black hole attack and the results was generated by using the contiki cooja simulator the results shows the effectiveness of the proposed technique in terms of the packet delivery rate, detection rate of attack.