Title :
Classification of hardware trojan detection techniques
Author :
Samer Moein;Jayaram Subramnian;T. Aaron Gulliver;Fayez Gebali;M. Watheq El-Kharashi
Author_Institution :
Department of Electrical and Computer Engineering, University of Victoria, V8W 2Y2, Canada
Abstract :
The majority of techniques that have been developed to detect hardware trojans are based on only specific attributes. Further, the ad hoc approaches that have been employed to design methods for trojan detection are largely ineffective. These trojans have a number of attributes which can be used in a systematic way to develop detection techniques. Based on this concept, a detailed examination of current trojan detection techniques and the characteristics of existing hardware trojans is presented. This is used to develop a new approach to hardware trojan identification and classification.
Keywords :
"Trojan horses","Hardware","Testing","Integrated circuits","Delays","Power demand","Monitoring"
Conference_Titel :
Computer Engineering & Systems (ICCES), 2015 Tenth International Conference on
DOI :
10.1109/ICCES.2015.7393075