Improving DFA attacks on AES with unknown and random faults

CORC > 北京大学 > 信息科学技术学院

	Improving DFA attacks on AES with unknown and random faults
	Liao Nan ; Cui Xiaoxin ; Liao Kai ; Wang Tian ; Yu Dunshan ; Cui Xiaole
刊名	Science China. Information Science
	2017
关键词	AES DFA attacks unknown and random faults efficient theoretical candidate number voltage violation
英文摘要	Differential fault analysis (DFA) aiming at the advanced encryption standard (AES) hardware implementations has become a widely research topic. Unlike theoretical model, in real attack scenarios, popular and practical fault injection methods like supply voltage variation will introduce faults with random locations, unknown values and multibyte. For analyzing this kind of faults, the previous fault model needed six pairs of correct and faulty ciphertexts to recover the secret round-key. In this paper, on the premise of accuracy, a more efficient DFA attack with unknown and random faults is proposed. We introduce the concept of theoretical candidate number in the fault analysis. Based on this concept, the correct round-key can be identified in advance, so the proposed attack method can always use the least pairs of correct and faulty ciphertexts to accomplish the DFA attacks. To further support our opinion, random fault attacks based on voltage violation were taken on an FPGA board. Experiment results showed that about 97.3% of the attacks can be completed within 3 pairs of correct and faulty ciphertexts. Moreover, on average only 2.17 pairs of correct and faulty ciphertexts were needed to find out the correct round-key, showing significant advantage of efficiency compared with previous fault models. On the other hand, less amount of computation in the analyses can be realized with a high probability with our model, which also effectively improves the time efficiency in DFA attacks with unknown and random faults.; supported by National Natural Science Foundation of China,National Basic Research Program of China (973),Natural Science Foundation of Beijing,Natural Science Foundation of Guangdong Province,R&D Project of Guangdong Government; 中国科学引文数据库(CSCD); 4; 042401-1-042401-14; 60
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/477180]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liao Nan,Cui Xiaoxin,Liao Kai,et al. Improving DFA attacks on AES with unknown and random faults[J]. Science China. Information Science,2017.
APA	Liao Nan,Cui Xiaoxin,Liao Kai,Wang Tian,Yu Dunshan,&Cui Xiaole.(2017).Improving DFA attacks on AES with unknown and random faults.Science China. Information Science.
MLA	Liao Nan,et al."Improving DFA attacks on AES with unknown and random faults".Science China. Information Science (2017).