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http://hdl.handle.net/10603/454401
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Multi biometric key based clustering approaches for secured transmission in wireless sensor networks | |
dc.date.accessioned | 2023-01-30T06:20:22Z | - |
dc.date.available | 2023-01-30T06:20:22Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/454401 | - |
dc.description.abstract | Secure 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.extent | xxiv, 160p. | |
dc.language | English | |
dc.relation | p.149-159 | |
dc.rights | university | |
dc.title | Multi biometric key based clustering approaches for secured transmission in wireless sensor networks | |
dc.title.alternative | ||
dc.creator.researcher | Nivedetha B | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Artificial Intelligence | |
dc.subject.keyword | Wireless Sensor Networks | |
dc.subject.keyword | Multi-Biometric | |
dc.subject.keyword | Key generation | |
dc.description.note | ||
dc.contributor.guide | Vennila ILA | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 21 cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 25.12 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.81 MB | Adobe PDF | View/Open | |
03_content.pdf | 368.4 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 12.42 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 699.64 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 570.94 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 615.01 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 694.8 kB | Adobe PDF | View/Open | |
09_annexures.pdf | 123.14 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 82.79 kB | Adobe PDF | View/Open |
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