Detecting multiple jammers using Fuzzy-Logic Intrusion Detection System (FLIDS)

This research paper aims to evaluate the efficiency and effectiveness of FLIDS in detecting multiple jamming attacks. The study conducted experiments by placing two jammers at sixteen different positions to examine the system’s performance. The experiments were carried out in various scenarios of Contiki 3.1 OS and the Cooja Simulator tool using the Routing Protocol for Low-Power and Lossy Networks (RPL). Furthermore, the optimal time frame for the solution to detect real-time jamming attacks was determined after analyzing the data. The simulation results demonstrate that Fuzzy Logic is an effective technique for recognizing multiple jamming attacks with high accuracy, precision, and recall rate in different scenarios.