Evaluating Localization Algorithms in IoT Networks Under Jamming Attacks

This research investigates the performance of six localization algorithms in the context of Jamming attacks within Internet of Things (IoT) networks. Building upon our previous work involving the Fuzzy Logic-based Intrusion Detection System (FLIDS) approach, we have extended the framework to incorporate a dedicated localization module to pinpoint the jamming source. The study assesses the effectiveness of these localization techniques by analyzing key metrics, including the Euclidean error distance and algorithm execution time.