Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/454401
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dc.coverage.spatialMulti biometric key based clustering approaches for secured transmission in wireless sensor networks
dc.date.accessioned2023-01-30T06:20:22Z-
dc.date.available2023-01-30T06:20:22Z-
dc.identifier.urihttp://hdl.handle.net/10603/454401-
dc.description.abstractSecure communication is an essential requirement in the area of Wireless Sensor Networks (WSN). Existing security schemes make use of a symmetric cryptography to design a key management scheme as it requires less computation time than other schemes. However, the disadvantage of symmetric encryption is the key distribution that is mostly done through a third party. Another possibility is to use a hybrid key establishment scheme which reduces the high resource allocation cost on the sensors by placing them on the base station. However, this method has some disadvantages such as overhead rising due to the communication between nodes and base station. The proposed approach is designed to monitor the network with secure data transmission. User authentication is important to prevent the unauthorized access of network data and resources. Biometric analysis has been widely used for authentication in WSN. Three major contributions such as Fuzzy Fingerprint Biometric Key based Security (FFBKS) scheme, Fuzzy Multi-Biometric Key based Security (FMBKS) scheme, and Expression based Multi-Biometric Key Security (EMBKS) scheme has been carried out for WSN security. newline
dc.format.extentxxiv, 160p.
dc.languageEnglish
dc.relationp.149-159
dc.rightsuniversity
dc.titleMulti biometric key based clustering approaches for secured transmission in wireless sensor networks
dc.title.alternative
dc.creator.researcherNivedetha B
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordWireless Sensor Networks
dc.subject.keywordMulti-Biometric
dc.subject.keywordKey generation
dc.description.note
dc.contributor.guideVennila ILA
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21 cm
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 File25.12 kBAdobe PDFView/Open
02_prelim pages.pdf2.81 MBAdobe PDFView/Open
03_content.pdf368.4 kBAdobe PDFView/Open
04_abstract.pdf12.42 kBAdobe PDFView/Open
05_chapter 1.pdf699.64 kBAdobe PDFView/Open
06_chapter 2.pdf570.94 kBAdobe PDFView/Open
07_chapter 3.pdf615.01 kBAdobe PDFView/Open
08_chapter 4.pdf694.8 kBAdobe PDFView/Open
09_annexures.pdf123.14 kBAdobe PDFView/Open
80_recommendation.pdf82.79 kBAdobe PDFView/Open


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