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In recent years, power analysis attacks have caused increasingly serious security threats on cryptographicalgorithm, to solve this problem different researcher has put forward many solutions, and among them the fixed value masking technology is one of the mostly used due to its lower cost and faster speed. Both theoretical and practical results have shown that the masking method has a good resistance...
Currently the researchers use side channel detection method based on dimension reduction to detect the hardware Trojan, which will lost the critical characteristics information of hardware Trojan after filtering or PCA, and caused a huge computation in the subsequent modeling operations. Differs from this traditional detection method, this paper presents a hardware Trojan detection technology based...
In a traditional template attack, during the template building phase, a large amount of calculation is usually needed, or, what is worse, some impossible calculation might be occurred to get the covariance matrix. Through a deep researching of template attack techniques, this paper has improved the template building method and proposed a new way which greatly simplified the template structure to avoid...
In recent years, hardware Trojans have become a research hotspot in security field, variety of detection methods have been proposed to resist this threat as a result. However, most of them are based on a standard template to detect a chip with specific functions. This may provide some help, but because of the weak adaptability, if the target chip is used for other functions, the attacker will have...
As the threats of hardware Trojan becoming increasingly serious, we proposed a new hardware Trojan detection method based on class center Markov distance classification in this paper. After modeling the power characteristics of hardware Trojan, we demonstrated the feasibility of using class center distance to detect the hardware Trojan, and since the shortcomings of Euclidean distance in this area,...
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