• DocumentCode
    1768296
  • Title

    Identification and break of positive feedback loops in Trojan States Vulnerable Circuits

  • Author

    Zhiqiang Liu ; You Li ; Yan Duan ; Geiger, Randall L. ; Degang Chen

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    289
  • Lastpage
    292
  • Abstract
    A systematic method is proposed for automatically identifying and breaking positive feedback loops (PFLs) in Trojan States Vulnerable Circuit. The method first converts the netlist of a circuit into a directed dependency graph (DDG) and then partitions the DDG into strongly connected components (SCCs). It then employs graph theory techniques to detect all PFLs and locate the break-points for every SCC. The proposed method could identify the circuit´s vulnerability to Trojan States only by its structure without the computation of DC solutions and it also provides insights on how and where to break the PFLs such that break-loop continuation methods can be applied. With Sub-Bandgap reference and widlar-Banba examples, it is demonstrated that the proposed approach can effectively identify all the PFLs and break-points.
  • Keywords
    analogue circuits; circuit feedback; circuit stability; graph theory; reference circuits; Trojan state vulnerability; Trojan states vulnerable circuits; Widlar-Banba example; circuit netlist; directed dependency graph; graph theory technique; positive feedback loop break; positive feedback loop identification; strongly connected component; subbandgap reference; systematic method; undesired stable DC operating points; Feedback loop; Graph theory; MOSFET; Signal processing algorithms; Systematics; Trojan horses; Trojan states; circuit partitioning; directed dependency graph; multiple operating points; positive feedback loops;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
  • Conference_Location
    Melbourne VIC
  • Print_ISBN
    978-1-4799-3431-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2014.6865122
  • Filename
    6865122