Modelling Black Hole Attacks on Cluster-Based Wireless Sensor Networks

dc.authoridTOHMA, KADIR/0000-0002-2631-7810
dc.contributor.authorAydin, Merve Nilay
dc.contributor.authorTohma, Kadir
dc.contributor.authorTurgut, Ipek Abasikeles
dc.date.accessioned2024-09-18T21:01:35Z
dc.date.available2024-09-18T21:01:35Z
dc.date.issued2015
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractWireless sensor networks consist of large number of small, low cost and energy limited sensors which are deployed to monitor many physical parameters such as temperature, pressure, vibration motion. Most of the applications implemented with WSN are vulnerable to attacks that come from outside. Black hole attacks are one of the most dangerous of these attacks. In order to determine the black hole attack, it is necessary to model the system. In this paper, black hole attacks are modeled on cluster-based wireless sensor networks.en_US
dc.description.sponsorshipDept Comp Engn & Elect & Elect Engn,Elect & Elect Engn,Bilkent Univen_US
dc.identifier.endpage239en_US
dc.identifier.isbn978-1-4673-7386-9
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-84939161620en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage236en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12857
dc.identifier.wosWOS:000380500900038en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectwireless sensor networksen_US
dc.subjectsecurityen_US
dc.subjectblack holeen_US
dc.subjectLEACHen_US
dc.titleModelling Black Hole Attacks on Cluster-Based Wireless Sensor Networksen_US
dc.typeConference Objecten_US

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