TTIDS : A Time-Driven Trust Based Intrusion Detection System for IoT Networks

Consumers are increasingly adopting multiple smart “things” connected via the Internet, such as home appliances, vehicles, and mobile medical equipment, due to the rapid growth of the Internet of Things (IoT). Many of these connections are made possible by IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL), a distance vector routing protocol used in IoT networks to build a route to send packets. The diverse nature, as well as the limitations and constraints (Low energy, memory, and storage) of these objects, drive the development of techniques to ensure their safety from malicious attacks. As a result, various approaches to protect the IoT have been designed and developed, however due to the limitations of these methods, they are still insufficient. In this paper an Intrusion Detection System (IDS), based on trust mechanism, was proposed for detecting topology attacks in this sort of environment. The number of identified nodes, energy consumption, memory utilization and the detection time and rate of the IDS were all taken into consideration when evaluating it. We chose Cooja software as the simulator to accomplish this.