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Passive Rule-Based Approach To Detect Sinkhole Attack In 6lowpan Rpl Based Internet Of Things Networks

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dc.contributor.authorSubh, Al Sarawi Shadi Mustafa
dc.date.accessioned2025-10-28T06:34:40Z
dc.date.available2025-10-28T06:34:40Z
dc.date.issued2024-02
dc.description.abstractThe aim of this thesis is to propose a Passive Rule-Based Approach named PRBA to detect sinkhole attacks in 6LoWPAN RPL-based IoT Networks, which consists of four stages to achieve four research objectives, which are: (1) Data collection and preprocessing stage that fulfills the objective to transform the collected power consumption values and the captured ICMPv6 network traffic into a meaningful format; (2) Feature Selection stage that fulfills the objective to decrease the size of the features by selecting the most significant features that contribute to detecting sinkhole attacks; (3) Behavioral Indicators stage that fulfills the objective to identify abnormal behavior of sinkhole attacks using the features of the ICMPv6 and power consumption from the previous stage; and (4) Sinkhole Attack Detection stage that fulfills the objective to decide whether there is a sinkhole attack in two steps.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/22970
dc.language.isoen
dc.subjectInternet of things
dc.subjectComputer networks
dc.titlePassive Rule-Based Approach To Detect Sinkhole Attack In 6lowpan Rpl Based Internet Of Things Networks
dc.typeResource Types::text::thesis::doctoral thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
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