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Please use this identifier to cite or link to this item: http://10.10.120.238:8080/xmlui/handle/123456789/205
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dc.contributor.authorKumar G.en_US
dc.contributor.authorRiaz A.en_US
dc.contributor.authorPrasad Y.en_US
dc.contributor.authorAhlawat S.en_US
dc.date.accessioned2023-11-30T08:13:17Z-
dc.date.available2023-11-30T08:13:17Z-
dc.date.issued2022-
dc.identifier.isbn978-1665472272-
dc.identifier.issn1081-7735-
dc.identifier.otherEID(2-s2.0-85145874771)-
dc.identifier.urihttps://dx.doi.org/10.1109/ATS56056.2022.00018-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/205-
dc.description.abstractThe modern-day SoCs have various instruments and proprietary data embedded on chip for test, diagnosis, post-silicon debug, in-field health monitoring, authentication, counterfeit detection, etc. The testing infrastructure such as IEEE Std. 1687 (IJTAG) is incorporated into the ICs for flexible access to these on-chip instruments. However, this standard can be illegitimately used by malicious users for instigating side-channel attacks. In order to improve the security of the IJTAG network, a secure access protocol based on Chip ID, access software and Locking SIB (LSIB) has been proposed. Although this protocol elevates the security of the IJTAG network, in recent works, it has been shown that the secure access protocol is vulnerable to machine learning attack and differential analysis attack. In this work, a new secure access protocol is proposed which is built over the existing secure access protocol. The proposed protocol uses multiple templates which are selected randomly for embedding the key bits. It is shown that the proposed protocol can mitigate the efficacy of machine learning attack and differential analysis attack significantly. Moreover, it is simple to implement and incurs a marginal overhead in terms of area. © 2022 IEEE.en_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.sourceProceedings of the Asian Test Symposiumen_US
dc.subjectBoard securityen_US
dc.subjectDifferential analysis attacken_US
dc.subjectIEEE Std. 1687en_US
dc.subjectLSIBen_US
dc.subjectMachine learning attacken_US
dc.titleA New Access Protocol for Elevating the Security of IJTAG Networken_US
dc.typeConference Paperen_US
Appears in Collections:Conference Paper

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