Bütün, İsmailRa, In-HoSankar, Ravi2021-03-202021-03-2020151424-8220http://doi.org/10.3390/s151128960https://hdl.handle.net/20.500.12885/1139Sankar, Ravi/0000-0003-2206-6767; Butun, Ismail/0000-0002-1723-5741In this work, an intrusion detection system (IDS) framework based on multi-level clustering for hierarchical wireless sensor networks is proposed. The framework employs two types of intrusion detection approaches: (1) downward-IDS (D-IDS) to detect the abnormal behavior (intrusion) of the subordinate (member) nodes; and (2) upward-IDS (U-IDS) to detect the abnormal behavior of the cluster heads. By using analytical calculations, the optimum parameters for the D-IDS (number of maximum hops) and U-IDS (monitoring group size) of the framework are evaluated and presented.eninfo:eu-repo/semantics/openAccessintrusion detectionneighborhood watchingclusteringWSNIDShierarchicalArticle10.3390/s15112896015112896028978WOS:00036568640008026593915Q1Q1