Direct Neighbour Sink Reputed Trust Based Intrusion Detection System to Mitigate Sinkhole Attack in RPL for IoT Networks
Bimal Patel, Parth D. Shah · Journal of Engineering Science and Technology Review · 2021
In terms of heterogeneous devices and sensors, man and machine collaborate seamlessly, giving birth to the Internet of People, Internet of Things, and Internet of the Future.IoT combines the power of IPv6 for network connectivity, sensing and nextgen communication technologies to meet future demands.Internet Engineering Task Force (IETF) came up with a concept of 6LoWPAN possessing characteristics like low power, bandwidth and cost.To bridge the routing gap and to collaborate between low power private area network and the outside world, IETF ROLL group proposed IPv6 based lightweight standard RPL (Routing protocol for low power and lossy networks).As an essential component of 5G communication, the IoT environment is more susceptible to various routing attacks due to constraint resources, complex infrastructure and heterogeneity of smart things.In our work, we have explored sinkhole attack which disrupts routing paths and silently drop packets degrading the overall quality of service parameters.Our work proposed Direct Neighbor Sink Reputed Trust Based Intrusion Detection System (DSTIDS) to mitigate the effect of a sinkhole attack.The experimental evaluation is performed and analyzed using Contiki 3.0 operating system along with inbuilt simulator cooja.Our proposed scheme DSTIDS shows much better performance in terms of various metrics like packet delivery ratio, detection rate, false negative rate and false positive rate compared to other state of the art existing schemes for sinkhole attack.