An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks
dc.authorid | 0000-0002-1723-5741 | en_US |
dc.contributor.author | Bütün, İsmail | |
dc.contributor.author | Ra, In-Ho | |
dc.contributor.author | Sankar, Ravi | |
dc.date.accessioned | 2021-03-20T20:15:01Z | |
dc.date.available | 2021-03-20T20:15:01Z | |
dc.date.issued | 2015 | |
dc.department | BTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümü | en_US |
dc.description | Sankar, Ravi/0000-0003-2206-6767; Butun, Ismail/0000-0002-1723-5741 | en_US |
dc.description.abstract | In 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. | en_US |
dc.description.sponsorship | Basic Science Research Program through the National Research Foundation of Korea (NSF) - Ministry of Education, Science and Technology [2012R1A1A2044504] | en_US |
dc.description.sponsorship | This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NSF), funded by the Ministry of Education, Science and Technology (2012R1A1A2044504). | en_US |
dc.identifier.doi | 10.3390/s151128960 | en_US |
dc.identifier.endpage | 28978 | en_US |
dc.identifier.issn | 1424-8220 | |
dc.identifier.issue | 11 | en_US |
dc.identifier.pmid | 26593915 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.startpage | 28960 | en_US |
dc.identifier.uri | http://doi.org/10.3390/s151128960 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12885/1139 | |
dc.identifier.volume | 15 | en_US |
dc.identifier.wos | WOS:000365686400080 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.institutionauthor | Bütün, İsmail | |
dc.language.iso | en | en_US |
dc.publisher | Mdpi Ag | en_US |
dc.relation.ispartof | Sensors | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | intrusion detection | en_US |
dc.subject | neighborhood watching | en_US |
dc.subject | clustering | en_US |
dc.subject | WSN | en_US |
dc.subject | IDS | en_US |
dc.subject | hierarchical | en_US |
dc.title | An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks | en_US |
dc.type | Article | en_US |
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