• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.2
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• pp.347-355
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• 2018

Ransomware uses symmetric-key algorithm such as a block cipher to encrypt users' files illegally. If we find the traces of a block cipher algorithm in a certain program in advance, the ransomware will be detected in increased rate. The inclusion of a block cipher can consider the encryption function will be enabled potentially. This paper proposes a way to determine whether a particular program contains a block cipher. We have studied the implementation characteristics of various block ciphers, as well as the AES used by ransomware. Based on those characteristics, we are able to find what kind of block ciphers have been contained in a particular program. The methods proposed in this paper will be able to detect ransomware with high probability by complementing the previous detection methods.

• Journal of Broadcast Engineering
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• v.14 no.2
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• pp.219-227
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• 2009

In H.264/AVC, if each block is quantized with a adaptive quantization parameter(QP) regardless of the characteristics of a block, it could be the deterioration of the picture quality. In this paper, an adaptive block-based QP selection method is proposed in order to improve picture quality by utilizing the bit amounts of the zigzag-scanned integer transform coefficients of the neighboring blocks and changing the QP value in the current block. The proposed method works in the same way as the encoder and decoder without transmitting the change of QP value to the decoder side. The experimental results show that the proposed method achieves a gain of about $0.1\sim0.3dB$ compared with H.264/AVC.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.4
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• pp.1-8
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• 2010

This paper proposes a new frame rate up-conversion method. First, the proposed triple frame-based bidirectional motion estimation method reduce block artifacts in the interpolated frame by solving the wrong motion estimation in the area with similar characteristics. Second, the proposed motion vector smoothing reduces outliers, which result in block artifacts, considering the spatio-temporal neighboring motion vectors. In the experiments, the proposed frame rate up-conversion method improves the average PSNR and SSIM by up to 4.337 dB and 0.089, respectively, compared to the existing methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.3
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• pp.513-525
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• 2022

The immutability of blockchain is core elements of security of blockchain and guarantee data integrity. However, the characteristic that the data recoreded once in the blockchain cannot be modified has place for abuse by a specific user. In fact improper contents that is inappropriate to be recorded on the blockchain, such as harmful data and user personal data, is exposed on Bitcoin. As a way to manage improper content existing in the blockchain, there is a redactable blockchain using chameleon hash proposed for the first time by Ateniese. The redactable blockchain meet the right to be forgotten of GDPR by allowing data modification and deletion. Recently, Research on personal data management is being conducted in a redactable blockchain. Research by Jia et al. proposed a model that enables users to manage their personal data in the redactable blockchain. However, semi trusted regulators, which are blockchain participation nodes, have powerful authority in the blockchain, such as modification rights and deprivation of transaction rights for all blocks, which may cause side effects. In this paper, to weaken the authority of regulators in Y. Jia et al., we propose a method of authority subject altering and authority sharing, and propose a redactable blockchain-based authority change and access control system model based on applicable scenarios.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.1
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• pp.63-70
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• 2015

An Image fusion, or Pansharpening is a methodology of increasing the spatial resolution of image with low-spatial resolution using high-spatial resolution images. In this paper, we have performed an image fusion of hyperspectral imagery by using panchromatic image with high-spatial resolution, multispectral and hyperspectral images with low-spatial resolution, which had been acquired by ALI and Hyperion of EO-1 satellite sensors. The study has been mainly focused on evaluating performance of fusion process following to the image fusion methodology of the block association, which had applied to ALI and Hyperion dataset by considering spectral characteristics between multispectral and hyperspectral images. The results from experiments have been identified that the proposed algorithm efficiently improved the spatial resolution and minimized spectral distortion comparing with results from a fusion of the only panchromatic and hyperspectral images and the existing block-based fusion method. Through the study in a proposed algorithm, we could concluded in that those applications of airborne hyperspectral sensors and various hyperspectral satellite sensors will be launched at future by enlarge its usages.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.97-103
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• 2019

Electronic contract systems are widely used to integrate and manage the contract management process based on the development of ICT technology. Recently, improvement methods using block chain technology are being studied. However, contract management systems have processing performance, security vulnerabilities, data entry, and service accessibility issues. In this paper, we propose a block - chain based contract management platform with block chain, smart contract, and Rest API. The suggested platform includes the RPBFT algorithm which solves the processing performance and security vulnerability of the existing consensus authentication algorithm, and the algorithm to prevent data entry and enhance transparency of participants. The block-chain-based contract management platform proposed in this paper provides a use environment with improved processing performance, security, reliability, and transparency, and can be used through API without burdening construction. Therefore, The effect can be expected.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.4
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• pp.127-136
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• 2022

As technological development continues, platforms with more diverse structures are emerging. Existing research predicts that a new structure based on technology and innovation will affect the two-sided market. This study evaluated the decentralized identifier (DID) platform, a new platform based on blockchain technology, of the importance of this platform from the perspective of the two-sided market. Using the Analytic Network Process, IT, platform, and blockchain experts conducted a dual comparison survey. Data with a consistency ratio value of 0.1 or less were selected and analyzed for 12 data. The research results showed the importance of service quality, policy support, openness, and uncertainty. This study is expected to be used to support the development of strategic decision-making for blockchain and DID platform-based business companies.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.12-14
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• 2014

본 논문에서는 AZB (All-Zero Block) 검출을 이용한 조기 부호화 단위(Coding Unit, CU) 결정 방법을 제안한다. HEVC 영상 코덱의 하드웨어 구현에서 이산여현변환(DCT)는 많은 부호화 자원을 필요로 하는 과정으로 DCT 수행 이전에 블록 내의 모든 양자화 계수가 0 이 되는 영블록(All-zero Block)을 미리 검출하여 DCT 및 양자화 과정을 생략하고 CU 의 부호화 과정을 조기에 종료함으로써 부호화 복잡도를 크게 감소시키는 방법을 제안한다. 기존의 SAD (Sum of Absolute Difference) 또는 SATD (Sum of Absolute Transform Difference)에 기반하는 AZB 검출 방법은 HEVC 에서 새롭게 추가된 큰 크기의 $16{\times}16$와 $32{\times}32$ DCT 에서 AZB 을 효율적으로 검출할 수 없는 한계가 존재한다. 본 논문에서는 DCT 변환 커널이 하다마드 변환 커널과 또 다른 정규 직교 변환 커널로 분할하여 표현할 수 있는 성질을 이용하여, 부화소 움직임벡터 추정 과정을 통해 생성된 하드마드 변환 계수에 DCT 를 생성하는 변환 커널을 곱하여 DCT 변환 커널을 생성한 후 양자화 계수를 이용하여 CU 단위의 AZB 을 검출하는 방법을 제안한다. 또한 AZB 검출과 움직임 벡터의 크기를 이용하여 현재 CU 의 부호화 과정을 조기에 종료하는 방법을 제안한다. 제안하는 AZB 검출과 CU 조기 종료 부호화 방법을 사용하면 평균적으로 34.7%의 부호화 시간을 감소시켜 부호화 복잡도를 크게 줄일 수 있다.

• The Journal of Korean Association of Computer Education
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• v.13 no.4
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• pp.77-86
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• 2010

In this paper, we propose a real time post-processing visual enhancement technique to reduce the blocking artifacts in block based DCT decoded image for mobile devices that have allocation of the restricted resource. In order to reduce the blocking artifacts effectively even while preserving the image edge to the utmost, the proposed algorithm uses the deblocking filtering or the directional filtering according to the edge detection of the each pixel. After it is discriminated that the pixel to apply the deblocking filtering belongs again to the monotonous area, the weighted average filter with the adaptive mask is applied for the pixel to remove the blocking artifacts. On the other hand, a new directional filter is utilized to get rid of staircase noise and preserve the original edge component. Experimental results show that the proposed algorithm produces better results than those of the conventional algorithms in both subjective and objective qualities.

• Journal of KIISE:Software and Applications
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• v.29 no.7
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• pp.425-435
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• 2002

This paper introduces a macroblock-based rate control algorithm using the neural classifier based in Self Organization feature Maps (SOFM). In contrast to the conventional rate control methods based on the mathematical rate distortion (RD) model and the feedback regression, proposed method can actively adapt to the rapid-varying image characteristics by establishing the global model for bitrate control and by using the SOFM based neural classifier to manage that model. Proposed rate control algorithm has 0.2 dB ~ 0.6 dB better performances than MPEG-4 macroblock-based rate control algorithm by evaluating with the encoded Peak Signal to Noise Ratios while maintaining similar overall computational complexity.