Energy Efficient Approach to Detect Sinkhole Attack Using Roving IDS in 6LoWPAN Network

The Internet of Things (IoT) has become a widespread technology where everyday objects are being transferred toward intelligent devices. These smart devices incorporate sensing, computing, and networking abilities into them. A smartphone, a smartwatch can be utilized for various tasks other than calling and timekeeping. Even home appliances also incorporate a midrange computer. Therefore, the most advanced applications and services have considerably risen. Despite numerous gains, security threats increased in terms of recorded catastrophic events as well as attack severity. There are multiple threads in 6LoWPAN and related routing protocol. In our research paper, we perform and assess an energy-efficient, lightweight intrusion detection system (IDS) for the 6LoWPAN network. The primary goal of this paper to target routing attacks (i.e., selective-forwarding, sinkhole, etc.). Our intended energy-efficient lightweight defense solution which identifies sinkhole attack in the IoT ecosystem. The defense method is executed with the help of Cooja network simulator on the Contiki OS. The experimental outcomes show that the solution is lightweight and can identify the sinkhole attack with a noteworthy performance, and provides 95.86% TPR and 94.31% TNR rate. It also shows minimum memory (RAM/ROM) utilization and energy consumption, which is comparable.