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
Link To Document :
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