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Sangook Jun,Yong-Hee Jeon,Joohyun Rho,Dong-ho Lee 대한기계학회 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.1
Collaborative optimization (CO) is a multi-level decomposed methodology for a large-scale multidisciplinary design optimization (MDO). CO is known to have computational and organizational advantages. Its decomposed architecture removes a necessity of direct communication among disciplines, guaranteeing their autonomy. However, CO has several problems at convergence characteristics and computation time. In this study, such features are discussed and some suggestions are made to improve the performance of CO. Only for the system level optimization, genetic algorithm is used and gradient-based method is used for subspace optimizers. Moreover, response surface models are replaced as analyses in subspaces. In this manner, CO is applied to aero-structural design problems of the aircraft wing and its results are compared with the multidisciplinary feasible (MDF) method and the original CO. Through these results, it is verified that the suggested approach improves convergence characteristics and offers a proper solution.
자가재구성 센서 주소 생성기를 사용하여 보안을 강화한 적외선 통신
Sangook Moon 한국정보통신학회 2023 한국정보통신학회논문지 Vol.27 No.5
This study proposes a method to enhance infrared communication security. Firstly, the analysis suggests modifying the NEC protocols 16-bit address representation to support up to 216-1 sensor nodes in the target system where security will be applied. Secondly, a simple and effective self-reconfigurable pseudo-random address generator is developed. The proposed address generator repeatedly combines the previous result from two S-boxes with the address input as a random seed and reconstructs the input values of the S-boxes each time the address encryption is performed. The proposed self-reconfigurable pseudo-random address generator requires low hardware overhead, consisting of only two S-box tables with 256 16-bit entries and a pair of 8-bit XOR logic operations. The resulting encrypted address values exhibit statistical characteristics matching a normal distribution, satisfying security requirements against cyber attacks.
Memory Saving Architecture of Number Theoretic Transform for Lattice Cryptography
Sangook Moon 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.9
In realizing a homomorphic encryption system, the operations of 1encrypt, decrypt, and recrypt constitute major portions. The most important common operation for each back-bone operations include a polynomial modulo multiplication for over million-bit integers, which can be obtained by performing integer Fourier transform, also known as number theoretic transform. In this paper, we adopt and modify an algorithm for calculating big integer multiplications introduced by Schonhage-Strassen to propose an efficient Ring-LWE processor architecture which can save memory. The proposed architecture of Ring-LWE encryption processor has been implemented on an FPGA and evaluated.
Design of a Robust Normal Distribution Sampler for Ring-Learning-With-Errors Cryptographic Scheme
Sangook Moon 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.9
Due to the various characteristics from the pseudo random number generator or many kinds of deterministic devices such as arithmetic processing units, new principles and test schemes should be proposed for assessment of true random number generator. In this contribution, a novel viewpoint on designing a Normal distribution sampler applicable for implementing a homomorphic encryption system based on Ring-LWE crypto scheme is proposed. We suggest a Gaussian normal distribution sampler described with HDL to create uniformly distributed pseudo random numbers which will be used for generating non-symmetric key matrices and error matrices using an open-source AES cryptographic module. The implemented sampler can be conducted with high-speed clock frequency with its succinct critical delay paths as well.