Identifying reversible circuit synthesis approaches to enable IP piracy attacks

Samah Saeed, Nithin Mahendran, Alwin Zulehner, Robert Wille, Ramesh Karri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reversible circuits are vulnerable to intellectual property and integrated circuit piracy. To show these vulnerabilities, a detailed understanding on how to identify the function embedded in a reversible circuit is crucial. To obtain the embedded function, one needs to know the synthesis approach used to generate the reversible circuit in the first place. We present a machine learning based scheme to identify the synthesis approach using telltale signs in the design.

Original languageEnglish (US)
Title of host publicationProceedings - 35th IEEE International Conference on Computer Design, ICCD 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages537-540
Number of pages4
ISBN (Electronic)9781538622544
DOIs
StatePublished - Nov 22 2017
Event35th IEEE International Conference on Computer Design, ICCD 2017 - Boston, United States
Duration: Nov 5 2017Nov 8 2017

Publication series

NameProceedings - 35th IEEE International Conference on Computer Design, ICCD 2017

Other

Other35th IEEE International Conference on Computer Design, ICCD 2017
CountryUnited States
CityBoston
Period11/5/1711/8/17

Keywords

  • BDD
  • ESOP
  • IP piracy
  • Machine learning
  • QMDD
  • Reversible logic
  • Security
  • TBS

ASJC Scopus subject areas

  • Hardware and Architecture

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