Rank Attack (RA) Detection in RPL Protocol based on Network Characteristics
Kosaraju Chaitanya, Kakumanu Yasaswini, Nandini Kumari, Rajeswari Ch, E. Kavya · 2023
In this technological world, Internet of Things (IoT) dominates other technologies. IoT security concerns have rapidly increased in recent years. In IoT network, these security challenges are unavoidable. Attacks specifically targeting the IoT network layer take advantage of the entire IoT system. The protocol that was designed for low power and lossy networks in IoT provides a minimal level of defense against various attack types. A rank attack be the extremely common attack that significantly damages an IoT network employing RPL. By tricking neighbours into routing packets via them, malicious nodes can create false routing by using this rank value. The effects of this barrage are much more damaging. Throughput is decreased, and communication delays are increased. There is a need to solve rank attack right away because IoT devices are resource-constrained. By developing effective methods for identifying and mitigating RA, the effects of these attacks could be lessened. To identify rank attacks, the rank and the level of the nodes are examined to determine if the rank matches the level. When compared to the current system, Sink Based Intrusion Detection System (SBIDS), the suggested model provides more accuracy. LEACE is put forth in this research to recognize and counteract rank attacks based on the network node levels. The Cooja Simulator is a tool designed to identify the Rank attack.