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Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/12734
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dc.contributor.authorSengupta, Anirbanen_US
dc.contributor.authorChaurasia, Rahulen_US
dc.date.accessioned2023-12-14T12:38:20Z-
dc.date.available2023-12-14T12:38:20Z-
dc.date.issued2023-
dc.identifier.citationSengupta, A., & Chaurasia, R. (2023a). Facial signature-based biometrics for hardware security and IP core protection. In Physical Biometrics for Hardware Security of DSP and Machine Learning Coprocessors. Institution of Engineering and Technologyen_US
dc.identifier.citationScopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167361694&partnerID=40&md5=2ea03dff02b57a592fc502f4c5f2bb3den_US
dc.identifier.isbn978-1839538216-
dc.identifier.otherEID(2-s2.0-85167369746)-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/12734-
dc.description.abstract[No abstract available]en_US
dc.language.isoenen_US
dc.publisherInstitution of Engineering and Technologyen_US
dc.sourcePhysical Biometrics for Hardware Security of DSP and Machine Learning Coprocessorsen_US
dc.titleIntegrated defense using structural obfuscation and encrypted DNA-based biometric for hardware securityen_US
dc.typeBook Chapteren_US
Appears in Collections:Department of Computer Science and Engineering

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