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IEICE TRANSACTIONS on Information

Probabilistic Analysis of Differential Fault Attack on MIBS

Yang GAO, Yong-juan WANG, Qing-jun YUAN, Tao WANG, Xiang-bin WANG

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Summary :

We propose a new method of differential fault attack, which is based on the nibble-group differential diffusion property of the lightweight block cipher MIBS. On the basis of the statistical regularity of differential distribution of the S-box, we establish a statistical model and then analyze the relationship between the number of faults injections, the probability of attack success, and key recovering bits. Theoretically, time complexity of recovering the main key reduces to 22 when injecting 3 groups of faults (12 nibbles in total) in 30,31 and 32 rounds, which is the optimal condition. Furthermore, we calculate the expectation of the number of fault injection groups needed to recover 62 bits in main key, which is 3.87. Finally, experimental data verifies the correctness of the theoretical model.

Publication
IEICE TRANSACTIONS on Information Vol.E102-D No.2 pp.299-306
Publication Date
2019/02/01
Publicized
2018/11/16
Online ISSN
1745-1361
DOI
10.1587/transinf.2018EDP7168
Type of Manuscript
PAPER
Category
Information Network

Authors

Yang GAO
  State Key Laboratory for Mathematical Engineering and advanced computing
Yong-juan WANG
  State Key Laboratory for Mathematical Engineering and advanced computing
Qing-jun YUAN
  State Key Laboratory for Mathematical Engineering and advanced computing
Tao WANG
  State Key Laboratory for Mathematical Engineering and advanced computing
Xiang-bin WANG
  State Key Laboratory for Mathematical Engineering and advanced computing

Keyword