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Sensors for detection of misbehaving nodes in MANETs

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dc.contributor.authorKargl, Frank
dc.contributor.authorKlenk, Andreas
dc.contributor.authorWeber, Michael
dc.contributor.authorSchlott, Stefan
dc.contributor.editorFlegel, Ulrich
dc.contributor.editorMeier, Michael
dc.date.accessioned2019-10-16T08:50:51Z
dc.date.available2019-10-16T08:50:51Z
dc.date.issued2004
dc.description.abstractThe fact that security is a critical problem when implementing mobile ad hoc networks (MANETs) is widely acknowledged. One of the different kinds of misbehavior a node may exhibit is selfishness. A selfish node wants to preserve its resources while using the services of others and consuming their resources. One way of preventing selfishness in a MANET is a detection and exclusion mechanism. In this paper, we focus on the detection and present different kinds of sensors that will find selfish nodes. First we present simulations that show the negative effects which selfish nodes cause in MANET. In the related work section we will analyze the detection mechanisms proposed by others. Our new detection mechanisms that we describe in this paper are called activity-based overhearing, iterative probing, and unambiguous probing. Simulation-based analysis of these mechanisms show that they are highly effective and can reliably detect a multitude of selfish behaviors.en
dc.identifier.isbn3-88579-375-X
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/29208
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDetection of intrusions and malware & vulnerability assessment, GI SIG SIDAR workshop, DIMVA 2004
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-46
dc.titleSensors for detection of misbehaving nodes in MANETsen
dc.typeText/Conference Paper
gi.citation.endPage97
gi.citation.publisherPlaceBonn
gi.citation.startPage83
gi.conference.dateJuly 6-7, 2004
gi.conference.locationDortmund
gi.conference.sessiontitleRegular Research Papers

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P046 - DIMVA 2004 - Detection of intrusions and malware & vulnerability assessment, GI SIG SIDAR workshop,