• Journal of KIISE
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• v.44 no.6
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• pp.637-642
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• 2017

Honey Encryption (HE) is a technique to overcome the weakness of a brute-force attack of the existing password-based encryption (PBE). By outputting a plausible plaintext even if the wrong key is entered, it provides message recovery security which an attacker can tolerate even if the attacker tries a brute-force attack against a small entropy secret key. However, application of a cipher that requires encryption padding to the HE present a bigger problem than the conventional PBE method. In this paper, we apply a typical block cipher (AES-128) and a stream cipher (A5 / 1) to verify the problem of padding through the analysis of the sentence frequency and we propose a safe operation method of the HE.

• Journal of Power Electronics
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• v.9 no.3
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• pp.464-471
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• 2009

This paper introduces a new Motion-$SPM^{TM}$ (Smart Power Modules) module in Single In-line Package (SIP), which is a fully optimized intelligent integrated IGBT inverter module for up to 1kW low power motor drive applications. This module offers a sophisticated, integrated solution and tremendous design flexibility. It also takes advantage of pliability for the arrangement of heat-sink due to two types of lead forms. It comes to be realized by employing non-punch-through (NPT) IGBT with a fast recovery diode and highly integrated building block, which features built-in HVICs and a gate driver that offers more simplicity and compactness leading to reduced costs and high reliability of the entire system. This module also provides technical advantages such as the optimized cost effective thermal performances through IMS (Insulated Metal Substrate), the high latch immunity. This paper provides an overall description of the Motion-$SPM^{TM}$ in SIP as well as actual application issues such as electrical characteristics, thermal performance, circuit configurations and power ratings.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.33A no.11
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• pp.1-9
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• 1996

In the following paper, new architectural algorithm of clock and data recovery circuit is proposed for 622.08 Mbps optical communication receiver. New algorithm makes use of charge pump PLL using voltage controlled ring oscillator and extracts 8-channel 77.76 MHz clock signals, which are delayed by i/8 (i=1,2, ...8), to convert and recover 8-channel parallel data from 662.08 Mbps MRZ serial data. This circuit includes clock genration block to produce clock signals continuously even if input data doesn't exist. And synchronization of data and clock is doen by the method which compares 1/2 bit delayed onput data and decided dta by extracted clock signals. Thus, we can stabilize frequency and phase of clock signal even if input data is distorted or doesn't exist and simplify receiver architecture compared to traditional receiver's. Also it is possible ot realize clock extraction, data decision and conversion simulataneously. Verification of this algorithm is executed by DESIGN CENTER (version 6.1) using test models which are modelized by analog behavior modeling and digital circuit model, modified to process input frequency sufficiently, in SPICE.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.40 no.6
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• pp.31-38
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• 2003

A 16-bit adiabatic low-power Microprocessor is designed. The processor consists of control block, multi-port register file, program counter, and ALU. An efficient four-phase clock generator is also designed to provide power clocks for adiabatic processor. Adiabatic circuits based on efficient charge recovery logic(ECRL), are designed 0.35,${\mu}{\textrm}{m}$ CMOS technology. Conventional CMOS processor is also designed to compare the energy consumption of microprocessors. Simulation results show that the power consumption of the adiabatic microprocessor is reduced by a factor of 2.9∼3.1 compared to that of conventional CMOS microprocessor.

• 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 Korean Society of Clothing and Textiles
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• v.46 no.3
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• pp.390-406
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• 2022

This study aims to establish the optimal environmental conditions for storing textile products. Four textile products (cotton, wool, nylon, cotton/polyurethane) were used to produce experimental fabrics according to artificial contamination and washing conditions. Each fabric was subjected to three environmental conditions (A: 20-25℃/20% RH, B: 20-25℃/50% RH, C: 30-35℃/65% RH) for 4-12 weeks. Changes in textile characteristics include tensile strength, wrinkle recovery rate, and odor intensity. Results show that the change in tensile strength for the four test fabrics slightly decreased with a storage time of 4 to 12 weeks. The wrinkle recovery rate of the fabrics was the lowest under the C condition. UV exposure causes a substantial decrease in the tensile strength of the textiles. The change in odor characteristics was the highest for the odor intensity in the C condition. For storing textile products for sustainable management, it is desirable to maintain a temperature of 20 to 25℃ with a relative humidity of 50% RH or less and to provide ventilation in an enclosed storage space that can also block UV rays.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.25 no.4
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• pp.10-16
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• 1980

Five of each lowland and upland rice varieties were planted in a seedling hox with three replications of randomized complete block design and it was desiccated up to complete water stress in certain leaf stage. The desiccated rice plants were supplied with water again to check survival ability of rice plant from wilting. All of the lowland varieties which showed lower yield in upland condition were superior to upland varieties in recovery ability from desiccation. Some of the morphological characteristics in relation to the recovery ability also were discussed.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.6
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• pp.736-745
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• 2002

In network delivery of compressed video, packets may be lost if the channel is unreliable like Internet. Such losses tend to of cur in burst like continuous bit-stream error. In this paper, we propose an effective error-concealment approach to which an error resilient video encoding approach is applied against burst errors and which reduces a complexity of error concealment at the decoder using data hiding. To improve the performance of error concealment, a temporal and spatial error resilient video encoding approach at encoder is developed to be robust against burst errors. For spatial area of error concealment, block shuffling scheme is introduced to isolate erroneous blocks caused by packet losses. For temporal area of error concealment, we embed parity bits in content data for motion vectors between intra frames or continuous inter frames and recovery loss packet with it at decoder after transmission While error concealment is performed on error blocks of video data at decoder, it is computationally costly to interpolate error video block using neighboring information. So, in this paper, a set of feature are extracted at the encoder and embedded imperceptibly into the original media. If some part of the media data is damaged during transmission, the embedded features can be extracted and used for recovery of lost data with bi-direction interpolation. The use of data hiding leads to reduced complexity at the decoder. Experimental results suggest that our approach can achieve a reasonable quality for packet loss up to 30% over a wide range of video materials.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.5
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• pp.875-888
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• 2021

In this paper, we search integral distinguishers of lightweight block cipher PIPO and propose a key recovery attack on 8-round PIPO-64/128 with the obtained 6-round distinguishers. The lightweight block cipher PIPO proposed in ICISC 2020 is designed to provide the efficient implementation of high-order masking for side-channel attack resistance. In the proposal, various attacks such as differential and linear cryptanalyses were applied to show the sufficient security strength. However, the designers leave integral attack to be conducted and only show that it is unlikely for PIPO to have integral distinguishers longer than 5-round PIPO without further analysis on Division Property. In this paper, we search integral distinguishers of PIPO using a MILP-aided Division Property search method. Our search can show that there exist 6-round integral distinguishers, which is different from what the designers insist. We also consider linear operation on input and output of distinguisher, respectively, and manage to obtain totally 136 6-round integral distinguishers. Finally, we present an 8-round PIPO-64/128 key recovery attack with time complexity 2^124.5849 and memory complexity of 2⁹³ with four 6-round integral distinguishers among the entire obtained distinguishers.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.201-207
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• 2021

Deep learning, a type of machine learning, performs learning while changing the weights as it progresses through each learning process. Tensor Flow and Keras provide the results of the end of the learning in graph form. Thus, If an error occurs, the result must be discarded. Consequently, existing technologies provide a function to roll back learning results, but the rollback function is limited to results up to five times. Moreover, they applied the concept of MLOps to track the deep learning process, but no rollback capability is provided. In this paper, we construct a system that manages the intermediate value of the learning process by blockchain to record the intermediate learning process and can rollback in the event of an error. To perform the functions of blockchain, the deep learning process and the rollback of learning results are designed to work by writing Smart Contracts. Performance evaluation shows that, when evaluating the rollback function of the existing deep learning method, the proposed method has a 100% recovery rate, compared to the existing technique, which reduces the recovery rate after 6 times, down to 10% when 50 times. In addition, when using Smart Contract in Ethereum blockchain, it is confirmed that 1.57 million won is continuously consumed per block creation.