Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145849
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dc.contributor.authorHe, Chengkangen_US
dc.contributor.authorCui, Aijiaoen_US
dc.contributor.authorChang, Chip-Hongen_US
dc.date.accessioned2021-01-12T01:14:47Z-
dc.date.available2021-01-12T01:14:47Z-
dc.date.issued2019-
dc.identifier.citationHe, C., Cui, A., & Chang, C.-H. (2019). Identification of state registers of FSM through full scan by data analytics. Proceedings of the 2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST). doi:10.1109/AsianHOST47458.2019.9006677en_US
dc.identifier.isbn978-1-7281-3544-1-
dc.identifier.urihttps://hdl.handle.net/10356/145849-
dc.description.abstractFinite-state machine (FSM) is widely used as control unit in most digital designs. Many intellectual property protection and obfuscation techniques leverage on the exponential number of possible states and state transitions of large FSM to secure a physical design with the reason that it is challenging to retrieve the FSM design from its downstream design or physical implementation without knowledge of the design. In this paper, we postulate that this assumption may not be sustainable with big data analytics. We demonstrate by applying a data mining technique to analyze sufficiently large amount of data collected from a full scan design to identify its FSM state registers. An impact metric is introduced to discriminate FSM state registers from other registers. A decision tree algorithm is constructed from the scan data for the regression analysis of the dependency of other registers on a chosen register to deduce its impact. The registers with the greater impact are more likely to be the FSM state registers. The proposed scheme is applied on several complex designs from OpenCores. The experiment results show the feasibility of our scheme in correctly identifying most FSM state registers with a high hit rate for a large majority of the designs.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.language.isoenen_US
dc.relationMOE2018-T1-001-131 (RG87/18)en_US
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/AsianHOST47458.2019.9006677en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleIdentification of state registers of FSM through full scan by data analyticsen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.conference2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)en_US
dc.contributor.researchCentre for Integrated Circuits and Systemsen_US
dc.identifier.doi10.1109/AsianHOST47458.2019.9006677-
dc.description.versionAccepted versionen_US
dc.identifier.spage1en_US
dc.identifier.epage6en_US
dc.subject.keywordsData Miningen_US
dc.subject.keywordsRegression Analysisen_US
dc.citation.conferencelocationXi'an, Chinaen_US
dc.description.acknowledgementThis work was supported in part by the National Natural Science Foundation of China under Grant 61672182, the Guangdong Natural Science Foundation under Grant 2016A030313662, and in part by the Singapore Ministry of Education Tier 1 Grant MOE2018-T1-001-131 (RG87/18).en_US
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