• Bulletin of the Korean Chemical Society
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• v.30 no.7
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• pp.1628-1630
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• 2009

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.3
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• pp.423-431
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• 2021

SPECK and SIMON are lightweight block ciphers developed by NSA(National Security Agency), and SIMECK is a new lightweight block cipher that combines the advantages of SPECK and SIMON. In this paper, a large-capacity encryption using SPECK, SIMON, and SIMECK is implemented using a GPU with efficient parallel processing. CUDA library provided by NVIDIA was used, and performance was maximized by using CUDA assembly language PTX to eliminate unnecessary operations. When comparing the results of the simple CPU implementation and the implementation using the GPU, it was possible to perform large-scale encryption at a faster speed. In addition, when comparing the implementation using the C language and the implementation using the PTX when implementing the GPU, it was confirmed that the performance increased further when using the PTX.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.4
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• pp.588-594
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• 2021

SIMON, a lightweight block cipher developed by the US National Security Agency, is a family of block ciphers optimized for hardware implementation. It supports many kinds of standards to operate in various environments. The counter mode of operation is one of the operational modes. It provides to encrypt plaintext which is longer than the original size. The counter mode uses a constant(Nonce) and Counter value as an input value. Since Nonce is the identical for all blocks, so it always has same result when operates with other constant values. With this feature, it is possible to skip some instructions of round function by pre-computation. In general, the input value of SIMON is affected by the counter. However in an 8-bit environment, it is calculated in 8-bit units, so there is a part that can be pre-computed. In this paper, we focus the part that can be pre-calculated, and compare with previous works.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.600-616
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• 2021

SIMON and SPECK are two families of lightweight block ciphers that have excellent performance on hardware and software platforms. At CRYPTO 2019, Gohr first introduces the differential cryptanalysis based deep learning on round-reduced SPECK32/64, and finally reduces the remaining security of 11-round SPECK32/64 to roughly 38 bits. In this paper, we are committed to evaluating the safety of SIMON cipher under the neural differential cryptanalysis. We firstly prove theoretically that SIMON is a non-Markov cipher, which means that the results based on conventional differential cryptanalysis may be inaccurate. Then we train a residual neural network to get the 7-, 8-, 9-round neural distinguishers for SIMON32/64. To prove the effectiveness for our distinguishers, we perform the distinguishing attack and key-recovery attack against 15-round SIMON32/64. The results show that the real ciphertexts can be distinguished from random ciphertexts with a probability close to 1 only by 2^8.7 chosen-plaintext pairs. For the key-recovery attack, the correct key was recovered with a success rate of 23%, and the data complexity and computation complexity are as low as 2⁸ and 2^20.1 respectively. All the results are better than the existing literature. Furthermore, we briefly discussed the effect of different residual network structures on the training results of neural distinguishers. It is hoped that our findings will provide some reference for future research.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.165-173
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• 2023

In this paper, we propose an optimal implementation of lightweight block ciphers, SIMECK and SIMON counter operation mode, on a 32-bit RISC-V processor. Utilizing the characteristics of the CTR operating mode, we propose round function optimization that precomputes some values, single plaintext optimization and two plaintext parallel optimization. Since there are no previous research results on SIMECK and SIMON on RISC-V, we compared the performance of implementations with and without precomputation techniques for single plaintext optimization and two plaintext parallel optimization implementations. As a result, the implementations to which the precomputation technique was applied showed a performance improvement of 1% compared to the implementations to which precomputation was not applied.

• Journal of the Korean Mathematical Society
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• v.14 no.1
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• pp.81-92
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• 1977

• Journal of the Korean Mathematical Society
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• v.25 no.2
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• pp.315-324
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• 1988

• Journal of the Korean Mathematical Society
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• v.25 no.1
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• pp.93-107
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• 1988

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.328-334
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• 2021

The article examines the economic essence and approaches to determining the efficiency of the enterprise. The author in the study considers the effectiveness and from the standpoint of qualitative analysis of the effectiveness of change and implementation of enterprise development goals. It is established that the tool for ensuring qualitative impacts on the efficiency of the enterprise is the innovative development of the economic space of the enterprise. The article considers the dominant innovations that have influenced the means and methods of production. An organizational and economic mechanism has been recommended to coordinate the costs of innovation activities in order to ensure the efficiency of enterprises. The object of management in the organizational and economic mechanism is the innovation process in the enterprise: from the design of strategic goals of innovation, search and commercialization of innovations, to building and implementing innovation potential. The efficiency of the enterprise under the condition of realization of innovative potential will be characterized by steady competitive advantages and strategically-oriented behavior in the market.

• Journal of Ginseng Research
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• v.13 no.2
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• pp.147-152
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• 1989

The statistical characteristics of three year old American ginseng (Panax quinquefolium 1.) root yields from Lytton, British Columbia, Canada are presented. Ginseng root yield is related to plant density, with the highest yields generally obtained from the sites with the highest plant densities. However, these higher yields are made up of a larger proportion of smaller roots while the proportion of larger roots remains almost constant throughout the range of plant densities sampled. Further, it is suggested that relatively small samples can provide significant insight into crop performance and growth.