Hardware Trojan Detection by Multiple-Parameter Side-Channel Analysis

2013 ◽  
Vol 62 (11) ◽  
pp. 2183-2195 ◽  
Author(s):  
Seetharam Narasimhan ◽  
Dongdong Du ◽  
Rajat Subhra Chakraborty ◽  
Somnath Paul ◽  
Francis G. Wolff ◽  
...  
Keyword(s):  
Side Channel ◽  
Hardware Trojan ◽  
Side Channel Analysis ◽  
Hardware Trojan Detection ◽  
Trojan Detection ◽  
Multiple Parameter ◽  
Channel Analysis

Intra-Die-Variation-Aware Side Channel Analysis for Hardware Trojan Detection

2017 ◽  
Author(s):  
Fakir Sharif Hossain ◽  
Tomokazu Yoneda ◽  
Michihiro Shintani ◽  
Michiko Inoue ◽  
Alex Orailoglo
Keyword(s):  
Side Channel ◽  
Hardware Trojan ◽  
Side Channel Analysis ◽  
Hardware Trojan Detection ◽  
Trojan Detection ◽  
Channel Analysis

A Side-Channel Analysis for Hardware Trojan Detection Based on Path Delay Measurement

2018 ◽  
Vol 27 (09) ◽  
pp. 1850138 ◽  
Author(s):  
Atieh Amelian ◽  
Shahram Etemadi Borujeni
Keyword(s):  
Integrated Circuit ◽  
Side Channel ◽  
Hardware Trojan ◽  
Path Delay ◽  
Side Channel Analysis ◽  
Hardware Trojan Detection ◽  
Trojan Detection ◽  
Delay Measurement ◽  
Channel Analysis ◽  
Circuit Function

Hardware Trojan Horses (HTHs) are malicious modifications inserted in Integrated Circuit during fabrication steps. The HTHs are very small and can cause damages in circuit function. They cannot be detected by conventional testing methods. Due to dangerous effects of them, Hardware Trojan Detection has become a major concern in hardware security. In this paper, a new HTH detection method is presented based on side-channel analysis that uses path delay measurement. In this method, we find and observe the paths that Trojans have most effect on them. Most of the previous works add some structures to the circuit and need a large overhead cost. But, in our method, there is no modification in the circuit and we can use it for testing the circuits received after fabrication. The proposed method is evaluated with Xilinx FPGA over a number of test circuits. The results show that measuring the delays on 20 paths with an accuracy of 0.01[Formula: see text]ns can detect more than 80% of Trojans.

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