Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/11640
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dc.contributor.authorChaurasia, Rahulen_US
dc.contributor.authorSengupta, Anirbanen_US
dc.date.accessioned2023-05-03T15:04:33Z-
dc.date.available2023-05-03T15:04:33Z-
dc.date.issued2022-
dc.identifier.citationChaurasia, R., & Sengupta, A. (2022). Protecting trojan secured DSP cores against IP piracy using facial biometrics. Paper presented at the INDICON 2022 - 2022 IEEE 19th India Council International Conference, doi:10.1109/INDICON56171.2022.10039864 Retrieved from www.scopus.comen_US
dc.identifier.otherEID(2-s2.0-85149250964)-
dc.identifier.urihttps://doi.org/10.1109/INDICON56171.2022.10039864-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/11640-
dc.description.abstractThis paper presents a hardware security methodology for protecting the Trojan secured digital signal processing (DSP) cores against the threat of intellectual property (IP) counterfeiting/piracy using facial biometric based security approach. In the proposed methodology at first, DSP designs are leveraged with Trojan detection capability by constructing the Trojan secured designs using distinct multi-vendor policy. The Trojan secured design is constructed by creating a sister unit of the original DSP design by duplicating its operations. Subsequently, the facial signature has been generated from the facial features of genuine IP owner. Finally, this generated facial signature is embedded into the design in the form of covert secret security constraints during high-level synthesis (HLS) process. Thus, the proposed approach ensures the stronger security of the target Trojan secured design against IP piracy. The security strength of the proposed methodology is measured using probability of coincidence (Pc) and the probability for an attacker to extract the exact signature combination to prove the IP ownership 'P(f)'. Further, the proposed methodology incurs zero design overhead while enabling the robust protection of the Trojan secured DSP cores using facial biometric security. © 2022 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceINDICON 2022 - 2022 IEEE 19th India Council International Conferenceen_US
dc.subjectBiometricsen_US
dc.subjectCrimeen_US
dc.subjectHardware securityen_US
dc.subjectHigh level synthesisen_US
dc.subjectMalwareen_US
dc.subjectCounterfeitingen_US
dc.subjectDigital signal processing coreen_US
dc.subjectFacial biometricen_US
dc.subjectIntellectual property piracyen_US
dc.subjectProcessing coreen_US
dc.subjectProcessing designen_US
dc.subjectSecurity approachen_US
dc.subjectSecurity methodologiesen_US
dc.subjectTrojan secured designen_US
dc.subjectTrojansen_US
dc.subjectDigital signal processingen_US
dc.titleProtecting Trojan Secured DSP cores against IP piracy using Facial Biometricsen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Computer Science and Engineering

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