• DocumentCode
    726385
  • Title

    Detecting Hardware Trojans using backside optical imaging of embedded watermarks

  • Author

    Boyou Zhou ; Adato, Ronen ; Zangeneh, Mahmoud ; Tianyu Yang ; Uyar, Aydan ; Goldberg, Bennett ; Unlu, Selim ; Joshi, Ajay

  • Author_Institution
    ECE Dept., Boston Univ., Boston, MA, USA
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Hardware Trojans are a critical security threat to integrated circuits. We propose an optical method to detect and localize Trojans inserted during the chip fabrication stage. We engineer the fill cells in a standard cell library to be highly reflective at near-IR wavelengths so that they can be readily observed in an optical image taken through the backside of the chip. The pattern produced by their locations produces an easily measured watermark of the circuit layout. Replacement, modification or re-arrangement of these cells to add a Trojan can therefore be detected through rapid post-fabrication backside imaging. We evaluate our approach using various hardware blocks where the Trojan circuit area is less than 0.1% of the total area and it consumes less than 2% leakage power of the entire chip. In addition, we evaluate the tolerance of our methodology to background measurement noise and process variation.
  • Keywords
    CMOS integrated circuits; electronic engineering computing; image processing; integrated circuit layout; integrated circuit manufacture; integrated circuit technology; optical images; security of data; watermarking; backside optical imaging; chip fabrication; circuit layout; embedded watermarks; hardware Trojans; integrated circuits; near-IR wavelengths; optical method; post-fabrication backside imaging; security threat; Hardware; Integrated circuits; Integrated optics; Layout; Logic gates; Optical imaging; Trojan horses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (DAC), 2015 52nd ACM/EDAC/IEEE
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1145/2744769.2744822
  • Filename
    7167296