An Improved Automatic Hardware Trojan Generation Platform

Shichao Yu, Weiqiang Liu, Maire O'Neill

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

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Abstract

Over the past 10 years, various Hardware Trojan (HT) detection techniques have been proposed by the research community. However, the development of HT benchmark suites for testing and evaluating HT detection techniques lags behind. The number of HT-infected circuits available in current public HT benchmarks is somewhat limited and the circuits lack diversity in structure. Therefore, this paper proposes a new method to generate HTs using a highly configurable generation platform based on transition probability. The generation platform is highly configurable in terms of the HT trigger condition, trigger type, payload type and in the number and variety of HT-infected circuits that can be generated. In this research the transition probability of netlists is employed to identify rarely activated internal nodes to target for HT insertion rather than functional simulation as utilised in previous research. The authors believe transition probability provides a more realistic reflection of the netlist activity for use in determining the appropriate position for HT insertion. Finally, the generated HT-infected circuits are tested by a machine learning (ML)-based HT detection technique, which is known as Controllability and Observability for HT Detection (COTD). The resulting false positive and false negative rates illustrate the feasibility of the benchmark suite.
Original languageEnglish
Title of host publicationIEEE Computer Society Annual Symposium on VLSI (ISVLSI)
Publisher IEEE
Pages302-307
Number of pages6
DOIs
Publication statusPublished - 19 Sep 2019
EventIEEE Computer Society Annual Symposium on VLSI 2019 - Miami, Florida, Miami, United States
Duration: 15 Jul 201917 Jul 2019
Conference number: 2019
http://www.eng.ucy.ac.cy/theocharides/isvlsi19/dates.html

Conference

ConferenceIEEE Computer Society Annual Symposium on VLSI 2019
Abbreviated titleISVLSI
CountryUnited States
CityMiami
Period15/07/201917/07/2019
Internet address

Keywords

  • Hardware Trojans
  • Benchmarks
  • Automatic Generation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Yu, S., Liu, W., & O'Neill, M. (2019). An Improved Automatic Hardware Trojan Generation Platform. In IEEE Computer Society Annual Symposium on VLSI (ISVLSI) (pp. 302-307). IEEE . https://doi.org/10.1109/ISVLSI.2019.00062