A high-efficient and accurate fault model aiming at FPGA-based AES cryptographic applications
Nan Liao, Xiaoxin Cui, Tian Wang, Kai Liao, Yewen Ni, Dunshan Yu, Xiaole Cui · 2015
Setup time variation fault attacks that aim straightly at the FPGA devices have become hot spots nowadays. A high-efficient and accurate fault model aiming at FPGA-based cryptographic applications is proposed in this paper. Multi-diagonal faults are considered in this paper, thus more exploitable faulty ciphertexts can be gathered compared with the previous model. Multi-fault analysis is introduced due to the existence of multi-fault injection, which guarantees the accuracy of the result. Experiment result shows that the fault model brings a significant increase up to 36.5% of the exploitable faults compared with the previous method. Within 24 pairs of correct and faulty ciphertexts, the complete round key can be retrieved by this model.