Malicious circuitry detection using transient power analysis for IC security

Malicious modification of integrated circuits (ICs) in untrusted foundry, referred to as “Hardware Trojan”, has emerged as a serious security threat. Since it is extremely difficult to detect the presence of such Trojan circuits using conventional testing strategies, side-channel analysis has been considered as an alternative. In this paper, we proposed a non-destructive side-channel approach that characterizes and compares transient power signature using principle component analysis to achieve the hardware Trojan detection. The approach is validated with hardware measurement results using an FPGA-based test setup for large design including a 128-bit AES cipher. Experimental results show that this approach can discover small (<;1.1% area) Trojans under large noise and variations.

[1]  John Lach,et al.  Performance of delay-based Trojan detection techniques under parameter variations , 2009, 2009 IEEE International Workshop on Hardware-Oriented Security and Trust.

[2]  Sally Adee,et al.  The Hunt For The Kill Switch , 2008, IEEE Spectrum.

[3]  Joseph Zambreno,et al.  A case study in hardware Trojan design and implementation , 2011, International Journal of Information Security.

[4]  Swarup Bhunia,et al.  Towards Trojan-Free Trusted ICs: Problem Analysis and Detection Scheme , 2008, 2008 Design, Automation and Test in Europe.

[5]  Christos A. Papachristou,et al.  MERO: A Statistical Approach for Hardware Trojan Detection , 2009, CHES.

[6]  Swarup Bhunia,et al.  Hardware Trojan: Threats and emerging solutions , 2009, 2009 IEEE International High Level Design Validation and Test Workshop.

[7]  Mark Mohammad Tehranipoor,et al.  A Sensitivity Analysis of Power Signal Methods for Detecting Hardware Trojans Under Real Process and Environmental Conditions , 2010, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[8]  Berk Sunar,et al.  Trojan Detection using IC Fingerprinting , 2007, 2007 IEEE Symposium on Security and Privacy (SP '07).