• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.3
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• pp.75-84
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• 2004

In this paper, we present a related key differential attack on Full-round GOST Firstly, we present a distinguishing attack on full rounds of GOST, which can distinguish it from random oracle with probability 1- 64$2^{64}$ using a related key differential characteristic. We will also show that H. Seki et al.'s idea can be applied to attack on 31 rounds of GOST combining our related key differential characteristic. Lastly, we propose a related key differential attack on full rounds of GOST. In this attack we can recover 12 bits of the master key with $2^{35}$ chosen plaintexts and $2^{36}$ encryption times for the 91.7% expectation of success rate.

• Journal of the Korea Society for Simulation
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• v.9 no.2
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• pp.15-25
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• 2000

Since data security problems are very important in the information age, cryptographic algorithms for encryption and decryption have been studied for a long time. The GOST(Gosudarstvennyi Standard or Government Standard) algorithm as a data encryption algorithm with a 256-bit key is a 64-bit block algorithm developed in the former Soviet Union. In this paper, we describe how to design an encryption chip based on the GOST algorithm. In addition, the GOST algorithm is compared with the DES(Data Encryption Standard) algorithm, which has been used as a conventional data encryption algorithm, in modeling techniques and their performance. The GOST algorithm whose key size is relatively longer than that of the DES algorithm has been expanded to get better performance, modeled in VHDL, and simulated for implementation with an CPLD chip.

• Proceedings of the Korea Society for Simulation Conference
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• 1997.04a
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• pp.31-35
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• 1997

본 논문에서는 암호화 알고리즘의 하나인 GOST (Government Standard)를 칩으로 구현했을 경우에 차지하는 면적과 속도에 대해 DES와 비교 분석하고, GDES의 구조를 이 용하여 GOST 알고리즘을 빠르게 처리할 수 있도록 설계하였다. 합성한 것을 최종적으로 MAX+plus II를 이용하여 시뮬레이션을 통해 검증하였다.

• 보일러설비
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• s.56
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• pp.63-65
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• 1998

• Journal of Platform Technology
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• v.11 no.1
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• pp.72-84
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• 2023

With the rise of the Internet of Things, the security of such lightweight computing environments has become a hot topic. Lightweight block ciphers that can provide efficient performance and security by having a relatively simpler structure and smaller key and block sizes are drawing attention. Due to these characteristics, they can become a target for new attack techniques. One of the new cryptanalytic attacks that have been attracting interest is Neural cryptanalysis, which is a cryptanalytic technique based on neural networks. It showed interesting results with better results than the conventional cryptanalysis method without a great amount of time and cryptographic knowledge. The first work that showed good results was carried out by Aron Gohr in CRYPTO'19, the attack was conducted on the lightweight block cipher SPECK-/32/64 and showed better results than conventional differential cryptanalysis. In this paper, we first apply the Differential Neural Distinguisher proposed by Aron Gohr to the block ciphers HIGHT and GOST to test the applicability of the attack to ciphers with different structures. The performance of the Differential Neural Distinguisher is then analyzed by replacing the neural network attack model with five different models (Multi-Layer Perceptron, AlexNet, ResNext, SE-ResNet, SE-ResNext). We then propose a Related-key Neural Distinguisher and apply it to the SPECK-/32/64, HIGHT, and GOST block ciphers. The proposed Related-key Neural Distinguisher was constructed using the relationship between keys, and this made it possible to distinguish more rounds than the differential distinguisher.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.41-46
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• 2018

Recently, the importance of the northeast economies including Russia has been growing, and according to the Eurasian initiative policy, the enhancement of transportation, logistics and connectivity between the northeast Asian countries is emerging as one of the challenges for future growth. However, due to the different vehicle systems used in each country, the railway connections between countries are not operating smoothly. Especially, the couplers of the railway cars which pass through the countries of northeast Asia including Russia have different regulations, which render their shape and characteristics incompatible. In this study, we propose a method of interconnecting the AAR type coupler used in Korea and China and the CA-3 type coupler compatible with the Russian GOST standard, and verify that its structural safety conforms with each set of regulations. We analyze the possibilities offered by this method of interconnection by performing tests while developing materials satisfying the mechanical properties required for the freight coupler.

• Journal of Powder Materials
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• v.26 no.1
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• pp.11-15
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• 2019

In this study, a method to remove residual powder on a multi-layered graphene and a new approach to transfer multi-layered graphene at once are studied. A graphene one-step transfer (GOST) method is conducted to minimize the residual powder comparison with a layer-by-layer transfer. Furthermore, a residual powder removing process is investigated to remove residual powder at the top of a multi-layered graphene. After residual powder is removed, the sheet resistance of graphene is decreased from 393 to 340 Ohm/sq in a four-layered graphene. In addition, transmittance slightly increases after residual powder is removed from the top of the multi-layered graphene. Optical and atomic-force microscopy images are used to analyze the graphene surface, and the Ra value is reduced from 5.2 to 3.7 nm following residual powder removal. Therefore, GOST and residual powder removal resolve the limited application of graphene electrodes due to residual powder.