Biblio

Process variation is the critical issue in hardware Trojan detection. In the state-of-art works, ring oscillators are employed to address this problem. But ring oscillators are very sensitive to IR-drop effect, which exists ICs. In this paper, based on circuit theory, a IR-drop calibration method is proposed. The nominal power supply voltage and the others power supply voltage with a very small difference of the nominal power supply voltage are applied to the test chip. It is assumed that they have the same IR-drop $Δ$V. Combined with these measured data, the value of Vth + $Δ$V, can be obtained by mathematic analysis. The typical Vth from circuit simulation is used to compute $Δ$V. We studied the proposed method in a tested chip.

Hardware security has long been an important issue in the current IC design. In this paper, a hardware Trojan detection method based on frequency domain characteristics of power consumption is proposed. For some HTs, it is difficult to detect based on the time domain characteristics, these types of hardware Trojan can be analyzed in the frequency domain, and Mahalanobis distance is used to classify designs with or without HTs. The experimental results demonstrate that taking 10% distance as the criterion, the hardware Trojan detection results in the frequency domain have almost no failure cases in all the tested designs.