Recently, graphical processing units (GPUs) have found a prominent role in general-purpose applications. Specifically, in parallel processing applications where a considerable number of tasks should be processed while meeting specific design constraints. One of the most interesting subjects in this area is cipher breaking via brute-force attacks, which attracts the attention of many researchers to the field. In this paper, we introduce a novel exhaustive key search approach for block cipher cryptosystems. The key point is how to utilize the single instruction multiple thread architecture to improve the speed of the DES-like hardware-based cryptosystems. At first, the standard DES core is implemented while all operations like bit permutation, swapping, and general hardware data stream follow the original algorithm. Then, in order to maximize the usage of the memory bandwidth and to eliminate the bit access penalty in GPU architecture, we exploit the register permutation and swapping (instead of the conventional bit swapping) in our implementation. In this approach, each thread examines a set of 32 keys per each iteration and hence a considerable throughput is achieved. The experimental results demonstrate 24K\(\times \), 800\(\times \), and 400\(\times \) speed up over the traditional DES implementation on single-core CPU, the best previous work on multi-core CPU, and the conventional implementation on GPU, respectively. Furthermore, we measure the power and energy consumption of the best GPU and CPU approaches, where the GPU implementation proves to be more power efficient.
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We are grateful to Prof. Hamid Sarbazi Azad, head of the school of computer science, for his support and useful guidance. We also would like to acknowledge Mr. Reza Mirzaei and Mr. Mohsen Mahmoudi Aznaveh and all the other members of HPC lab at IPM.
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Ahmadzadeh, A., Hajihassani, O. & Gorgin, S. A high-performance and energy-efficient exhaustive key search approach via GPU on DES-like cryptosystems. J Supercomput 74, 160–182 (2018). https://doi.org/10.1007/s11227-017-2120-9
- Brute-force attacks