A New Method for Intrusion Detection on RPL Routing Protocol Using Fuzzy Logic
Behnam Farzaneh, Mohammad Koosha, Elahe Boochanpour, Emad Alizadeh
Abstract
The Internet of Things (IoT) is a new concept in the world of technology and communications for the description of the future in which physical objects or sensor nodes connect to the Internet using IPv6. One of the most prominent protocols used on the IoT for routing is RPL (IPv6 Routing Protocol for Low power and Lossy Networks) that could be exposed to specific attacks like the Local Repair attack. Hence, researchers focus on RPL security as the most important challenge at this protocol. In this paper, we proposed a new Fuzzy-based method for the detection of Local Repair Attack on the RPL routing protocol. The obtained results using the Cooja simulator in the Contiki OS show that the proposed method detects the Local Repair attack with a very high True Positive Rate (TPR) and very low False Positive Rate (FPR).