Certain studies on trust based energy minimization in wireless sensor networks

dc.contributor.guideParthasarathy, V
dc.coverage.spatialCertain studies on trust based energy minimization in wireless sensor networks
dc.creator.researcherSakthi Vinayagam, S
dc.date.accessioned2021-08-11T05:31:29Z
dc.date.available2021-08-11T05:31:29Z
dc.date.awarded2020
dc.date.completed2020
dc.date.registeredn.d.
dc.description.abstractWireless Sensor Network has nodes that communicate in an Adhoc manner. Sensor networks help in detecting signals, considering them as input to the network and processes it. This information that is gathered by the sensors can furnish valuable information once processed. The major threat to these networks is the attacks that i\t has to survive when transmitting information through the nodes, as the nodes are mostly mobile. Therefore, securing the network and minimizing the energy consumed is also a major concern. The major motive of this research is to probe into the algorithms that contribute towards ensuring the security of the sensor nodes and network as a whole. Some of the issues taken for investigation include:(i) Energy Constraint Based Trust Assurance Route approach for handling Sybil Attack.(ii)Restricted Identity Based Proxy Encryption for handling Sybil Attack. (iii) Energy Based ECC routing for handling Sybil Attack with improved Trust model.(iv) Energy Based ECC routing for handling Sybil Attack with improved Trust model using Deep Learning.(v) Energy Based ECC routing for handling Sybil Attack with improved Trust model using Restricted Boltzmaan Machine. The network consists of nodes including sensors that are part of any communication. This is an IoT scenario where the nodes communicate in adhoc manner. The nodes are assumed to communicate data in a Banking Environment. The data communicated is assumed to a part or full transaction. In Sybil attack the node which aims to attack the network creates multiple identities of its own and creates replicating identities of its own. Currently prevailing methodologies need to be updated for betterperformance. The packets that are sent are verified either on the server side or on the client end. A new methodology called Restricted Identity-Based Proxy Re-Encryption (RIBPRE) is proposed in this thesis. Overall objective is to detect Sybil attacks that will help in increasing the security of the network and enhance its overall performance. newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm
dc.format.extentxx,182 p.
dc.identifier.urihttp://hdl.handle.net/10603/335676
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.172-181
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordWireless sensor network
dc.subject.keywordSecurity mechanism
dc.subject.keywordDeep learning
dc.titleCertain studies on trust based energy minimization in wireless sensor networks
dc.title.alternative
dc.type.degreePh.D.

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