• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.171-181
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• 2012

This paper defines the AES password algorithm used as a symmetric-key-based password algorithm, and proposes the design of parallel password algorithm to utilize the resources of multi-core processor as much as possible. The proposed parallel password algorithm was confirmed for parallel execution of password computation by allocating the password algorithm according to the number of cores, and about 30% of performance increase compared to AES password algorithm. The encryption/decryption performance of the password algorithm was confirmed through binary comparative analysis tool, which confirmed that the binary results were the same for AES password algorithm and proposed parallel password algorithm, and the decrypted binary were also the same. The parallel password algorithm for multi-core environment proposed in this paper can be applied to authentication/payment of financial service in PC, laptop, server, and mobile environment, and can be utilized in the area that required high-speed encryption operation of large-sized data.

• Journal of the Korea Society of Computer and Information
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• v.25 no.2
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• pp.11-19
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• 2020

Modern GPU can execute general purpose computation on the graphic processing unit, and provide high performance by exploiting many core on GPU. To run AES algorithm efficiently, parallel computational resources are required. However, computational resource of CPU architecture are not enough to cryptographic algorithm such as AES whereas GPU architecture has mass parallel computation resources. Therefore, this paper reduce the time to execute AES by employing parallel computational resource on GPGPU. Unfortunately, AES cannot utilize computational resource on GPGPU since it isn't suitable to GPGPU architecture. In this paper, IPC based dynamic SM management technique are proposed to efficiently execute AES on GPGPU. IPC based dynamic SM management can increase and decrease the number of active SMs by using IPC in run-time. According to simulation results, proposed technique improve the performance by increasing resource utilization compared to baseline GPGPU architecture. The results show that AES improve the performance by 41.2% on average.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.9
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• pp.225-230
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• 2019

Recently, with the development of Internet technology, various encryption algorithms have been adopted to protect the sensing data measured by hardware devices. The Advanced Encryption Standard (AES), the most widely used encryption algorithm in the world, is also used in many devices with strong security. However, it has been found that the AES algorithm is vulnerable to side channel analysis attacks such as Differential Power Analysis (DPA) and Correlation Power Analysis (CPA). In this paper, we present a software optimization implementation technique of the AES algorithm applying the most widely known masking technique among side channel analysis attack methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1065-1078
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• 2014

Considering the safety of the data and performance, it can be said that the performance of the AES algorithm in a symmetric key-based encryption is the best in the IPSec-based VPN. When using the AES algorithm in IPSec-based VPN even with the expensive hardware encryption card such as OCTEON Card series of Cavium Networks, the Performance of VPN works less than half of the firewall using the same hardware. In 2008, Intel announced a set of 7 AES-NI instructions in order to improve the performance of the AES algorithm on the Intel CPU. In this paper, we verify how much the performance IPSec-based VPN can be improved when using seven sets of AES-NI instruction of the Intel CPU.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.359-362
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• 2014

With recent growing of application service, servers are required to sustain great amount of data and to handle them quickly: besides, data must be processed securely. The main security algorithm used in security services of server is AES(Advanced Encryption Standard - 2001 published by NIST), which is widely accepted in the world market for superiority of performance. In Korea, NSRI(National Security Research Institute) has developed ARIA(Academy, Research Institute, Agency) algorithm in 2004 and LEA(Lightweight Encryption Algorithm) algorithm in 2012. In this paper, we show advantage of LEA by comparing performance with AES and ARIA in various servers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.8
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• pp.1741-1748
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• 2005

In this paper, we describe VLSI design and performance evaluation of OCB-AES crytographic algorithm that simulataneously provides privacy and authenticity. The OCB-AES crytographic algorithm sovles the problems such as long operation time and large hardware of conventional crytographic system, because the conventional system must implement the privancy and authenticity sequentially with seqarated algorithms and hardware. The OCB-AES processor with area-efficient modular offset generator and tag generator is designed using IDEC Samsung 0.35um standard cell library and consists of about 55,700 gates. Its cipher rate is about 930Mbps and the number of clock cycles needed to generate the 128-bit tags for authenticity and integrity is (m+2)${\times}$(Nr+1), where m and Nr represent the number of block for message and number of rounds for AES encryption, respectively. The OCB-AES processor can be applicable to soft cryptographic IP of IEEE 802.11i wireless LAN and Mobile SoC.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.125-128
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• 2019

최근 사물인터넷 기술의 발전과 함께 하드웨어 디바이스에서 측정하는 센싱 데이터를 보호하기 위해 다양한 방식의 암호화 알고리즘을 채택하고 있다. 그 중 전 세계에서 가장 많이 사용하는 암호화 알고리즘인 AES(Advanced Encryption Standard) 또한 강력한 안전성을 바탕으로 많은 디바이스에서 사용되고 있다. 하지만 AES 알고리즘은 DPA(Differential Power Analysis), CPA(Correlation Power Analysis) 같은 부채널 분석 공격에 취약하다는 점이 발견되었다. 본 논문에서는 부채널 분석 공격대응방법 중 가장 널리 알려진 마스킹 기법을 적용한 AES 알고리즘의 소프트웨어 최적화 구현 기법을 제시한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.327-334
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• 2016

Contrary to the common belief, DRAM which is used for the main memory of various computing devices retains its content even though it is powered-off. Especially, the data-retaining time can increase if DRAM is cooled down. The Cold Boot Attack, a kind of side-channel attacks, tries to recover the sensitive information such as the cryptographic key from the powered-off DRAM. This paper proposes a new algorithm which recovers the AES key under the symmetric-decay cold-boot-attack model. In particular, the proposed algorithm uses the strategy of reducing the size of the candidate key space by testing the randomness of the extracted AES key bit stream.

• Journal of Advanced Navigation Technology
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• v.23 no.5
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• pp.339-344
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• 2019

In order to prepare for the rise of data security threats caused by the information and communication technology, technology that can guarantee the stability of the data stored in the missile test set is important. For this purpose, encryption should be performed when data is stored so that it cannot be restored even if data is leaked, and integrity should be ensured even after decrypting the data. In this paper, we apply AES algorithm, which is a symmetric key cryptography system, to the missile test set, and Encrypt and decrypt according to the amount of data for each bit of each AES algorithm. We implemented the AES Rijndael algorithm in the existing inspection system to analyze the effect of encryption and apply the proposed encryption algorithm to the existing system. confirmation of suitability. analysis of capacity and Algorithm bits it is confirmed that the proposed algorithm will not affect the system operation and the optimal algorithm is derived. compared with the initial data, we can confirm that the algorithm can guarantee data undulation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.578-580
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• 2017

IoT technology poses a lot of security threats. Various algorithms are thus employed in ensuring security of transactions between IoT devices. Advanced Encryption Standard (AES) has gained huge popularity among many other symmetric key algorithms due to its robustness till date. This paper presents a hardware based implementation of the AES algorithm. We present a four-stage pipelined architecture of the encryption and key generation. This method allowed a total plain text size of 512 bits to be encrypted in 46 cycles. The proposed hardware design achieved a maximum frequency of 1.18GHz yielding a throughput of 13Gbps and 800MHz yielding a throughput of 8.9Gbps on the 65nm and 180nm processes respectively.