Swarm Based Searching Method for Effective Sinkhole Attack Detection in Internet of Things

Over the last several decades, the IoT and WSN have seen a fast proliferation, which has resulted in astonishing innovation and integrated possibilities. Since the developments in networking technology and nanodevices, the transition from IPv4 to IPv6 has further increased connection. Due to this change, it becomes easier to connect a greater variety of devices to servers. The growing interconnectedness has resulted in challenges in effectively managing and evaluating the massively generated data across all levels of IoT. Considering the massive IoT devices and their tiny size, the demand of comprehensive security management is especially significant for these devices. In IoT layered design, the network layer is of utmost significance in terms of assuring security. This layer is responsible for storing routing information and carrying out choices that match to specific routing information. Among the several security assaults that are being handled, the sinkhole attack is one that is commonly observed and poses a considerable problem. In this study, the ramifications of the sinkhole attack on IoT are investigated in detail, and the effect of the attack is meticulously analyzed. In addition to this, it introduces a unique mitigation method that is specially built to effectively combat threats of this kind. To conduct comprehensive simulations, the study makes use of MATLAB v9. This has made it possible to evaluate the throughput of the network as well as the End-to-End delay and network lifetime.