Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519551
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dc.coverage.spatialSecurity trust model in wireless sensor networks using hybrid herd optimization techniques
dc.date.accessioned2023-10-22T05:17:03Z-
dc.date.available2023-10-22T05:17:03Z-
dc.identifier.urihttp://hdl.handle.net/10603/519551-
dc.description.abstractWireless Sensor Networks (WSNs) are self-organized wireless network systems with many low-cost and resource-constraint sensor nodes. As sensor networks are often deployed in adversarial and unattended environments for critical applications such as battlefield surveillance and medical monitoring, the security solution for WSNs is challenging. The traditional mechanisms based on cryptography and authentication cannot prevent internal attacks launched by compromised nodes that have valid cryptographic keys and post as authenticated nodes in the network. Low Energy Adaptive Clustering Hierarchy (LEACH) is an energy adaptive clustering hierarchy protocol. The main goal of cluster-based sensor networks is to decrease system delay and reduce energy consumption. This work proposes a Trust-based LEACH (trust LEACH) protocol to provide secure routing while preserving the essential functionalities of the original protocol. The decision-making of the scheme is based on the decision trust, evaluated separately and dynamically for different decisions by the basic situational trust. The situational trust is maintained by a trust management module integrated with a trust-based routing module, having novel techniques in the trust update model and cluster-head-assisted monitoring control. Results show that the trust LEACH has a higher number of clusters formed and a lifetime by LEACH. The trust LEACH has a lower average end-to-end delay and average packet loss rate by LEACH. In this work, Particle Swarm Optimization (PSO), Firefly (FF), Elephant Herding Optimization (EHO), trust-based PSO, FF, and EHO algorithms are proposed for enhancing the network performance. The EHO metaheuristic optimization algorithm is based on the herding behavior of elephants. EHO uses a clan operator for updating the distance of the elephants with respect to the position of a matriarch elephant. On selection of secure nodes, routes are selected using EHO optimizer for transmitting data, and nodes are updated with trust/energy values at the end of tran
dc.format.extentxii,139p.
dc.languageEnglish
dc.relationp.125-138
dc.rightsuniversity
dc.titleSecurity trust model in wireless sensor networks using hybrid herd optimization techniques
dc.title.alternative
dc.creator.researcherSaranya, V
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordOptimization techniques
dc.subject.keywordSecurity
dc.subject.keywordWireless sensor networks
dc.description.note
dc.contributor.guideKarthikeyan, M
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File26.87 kBAdobe PDFView/Open
02_prelim pages.pdf1.34 MBAdobe PDFView/Open
03_content.pdf12.02 kBAdobe PDFView/Open
04_abstract.pdf8.96 kBAdobe PDFView/Open
05_chapter 1.pdf401.89 kBAdobe PDFView/Open
06_chapter 2.pdf300.73 kBAdobe PDFView/Open
07_chapter 3.pdf356.89 kBAdobe PDFView/Open
08_chapter 4.pdf674.82 kBAdobe PDFView/Open
09_chapter 5.pdf541.4 kBAdobe PDFView/Open
10_chapter 6.pdf164.6 kBAdobe PDFView/Open
11_annexures.pdf118.69 kBAdobe PDFView/Open
80_recommendation.pdf84.42 kBAdobe PDFView/Open


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