• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.302-305
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• 2006

In this paper, we have proposed a novel method using quantization of wavelet coefficients for secret data communication. First, speech signal is partitioned into small time frames and the frames are transformed into frequency domain using a WT(Wavelet Transform). We quantize the wavelet coefficients and embedded secret data into the quantized wavelet coefficients. The destination regard quantization errors of received speech as seceret dat. As most speech watermark techniques have a trade off between noise robustness and speech quality, our method also have. However we solve the problem with a partial quantization and a noise level dependent threshold. In additional, we improve the speech quality with de-noising method using wavelet transform. Since the signal is processed in the wavelet domain, we can easily adapt the de-noising method based on wavelet transform. Simulation results in the various noisy environments show that the proposed method is reliable for secret communication.

• ETRI Journal
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• v.40 no.5
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• pp.677-686
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• 2018

A novel data hiding technique based on modified histogram shifting that incorporates multi-bit secret data hiding is proposed. The proposed technique divides the image pixel values into embeddable and nonembeddable pixel values. Embeddable pixel values are those that are within a specified limit interval surrounding the peak value of an image. The limit interval is calculated from the number of secret bits to be embedded into each embeddable pixel value. The embedded secret bits can be perfectly extracted from the stego image at the receiver side without any overhead bits. From the simulation, it is found that the proposed technique produces a better quality stego image compared to other data hiding techniques, for the same embedding rate. Since the proposed technique only embeds the secret bits in a limited number of pixel values, the change in the visual quality of the stego image is negligible when compared to other data hiding techniques.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.284-288
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• 2022

The article analyzes the regulations of current criminal law, which ensures the protection and protection of information relations, offers the optimal model of the system of norms of the Criminal Code of Ukraine, which establishes liability for violation of information. The subject of the article is protected information, which should include information or data, the procedure for access to and distribution of which, regardless of the method of submission, storage or organization, are subject to legal regulation in accordance with laws and regulations. For the purposes of criminal law, information as an object of criminal law protection should be classified on the following grounds: depending on the content: personal or family secrets; information constituting a state secret; data included in the official secret; information that constitutes a professional secret; information that constitutes a commercial, tax, banking secret, and, depending on the medium - documented and undocumented.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.3
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• pp.277-282
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• 2018

The goal of the secret message communication on the internet is to maintain invisibility and confidentiality. Digital steganography is a technique in which a secret message is inserted in a cover medium and transmitted to a destination so that a third party can not perceive the existence of the message itself. Steganography is an efficient method for ensuring confidentiality and integrity together with encryption techniques. In order to insert a secret (Hangul) message, I propose a image steganography method that the secret character is separated and converted into binary code with reference to the encryption table, the cover image is divided into two areas, and the secret message and the right l-LSB information of the second area are encrypted and crossed, concealing the k-LSB of the first region. The experimental results of the proposed method show that the PSNR value is 52.62 and the acceptable image quality level.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.153-160
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• 2014

The Streganography method for digital images has to insert secret data into the image without image distortion. Side match method is that size of secret data is calculated by difference of embedded pixel value and mean value of side pixels. And the secret value is embedded into the embedded pixel. Therefore, the more secret data increases, the more image distortion increases, too. In this paper, we propose the enhanced method that calculates embedded pixel value by difference of secret value and mean value of side pixels. In proposed method, more secret data is embedded and image distortion has to decreases.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.26 no.3
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• pp.293-300
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• 2016

Objectives: This study is designed to survey the current status of trade secrets in GHS MSDS circulated in workplaces and indicate problems in the chemical information system. According to the survey results, we suggest management plans including political improvement of the trade secret system for MSDS and technical support to workplaces following enhanced chemical communication. Methods: To review this subject, we selected 153 manufacturers and six importers working in such fields as organic chemical production. We then investigated the retention status of GHS MSDS, application of trade secrets, and the content of trade secret components in MSDSs for mixtures. Results and Conclusions: Within the results, the content of trade secret ingredients was 67.4% (single: 9.0%, mixture: 75.6%). This is an increase compared with the previous results of 45.5% in 2011. Among 59,393 GHS MSDSs, 74.5% had ingredients less than 10% trade secret components, 19.1% had 10-30%, 1.8% had 30-50%, and 4.6% had more than 50%. To settle this issue, we recommend registration or evaluation of trade secrets as implemented in advanced countries. Also, business should be required to undergo regular evaluations of application status for trade secrets in workplace GHS MSDS.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.103-114
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• 2012

The many DE based data hiding schemes and the many data hiding schemes based on Histogram shifting are researched in spatial domain. The data hiding scheme based on Histogram shifting have an advantage of low distortion of the stego image. But the capacity is low than other schemes. On the other hands, the DE based data hiding schemes have an advantage of high capacity. But the quality of the stego image is low. In this paper, new data hiding scheme which has the similar capacity but the increased quality of the stego image is proposed. The prediction error is divided into blocks to embed the secret data in this scheme. The prediction errors in the block are scanned before the secret data is embedded. If one prediction error is low than the threshold at least, the block is changed to embed the secret data. Otherwise the secret data is not embedded. The distortion of the stego image is minimized by this method. But the block that the secret data embedded is marked in location map. So the additional information to extract the secret data and recover the cover image is needed.

• Convergence Security Journal
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• v.20 no.1
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• pp.85-92
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• 2020

None of the recent cases of military secret leakages have leaked internal information using networks. This is because the Internet and the Intranet are physically separated, and has a difficult process when transmitting and receiving data through the Internet. Therefore, most of the leaked paths are to copy and hand over secrets, shoot and send them with a smartphone, or disclose after remembering them. So, the technology of blocking and detecting military secret leakages through the network is not effective. The purpose of this research is to propose a method to prevent information leakage by focusing on the insider behaviors, the subject of leakage, rather than the military secret. The first is a preventive measure to prevent the leakage behavior of military secrets, the second is to block suspicious access to the military secret data, and the last is to detect the leakage behavior by insiders.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.6
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• pp.1285-1292
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• 2014

Ministry of National Defense made has set a standard regulations and detail to classify the revision of the military security and the plan to adjust or use those secrets. Moreover, the confidential management system with online secret process is operated by it. However, the study for management plan of stored secret data in these systems should be urgently required because the current regulation of military headquarter is different from present military situation so that it is not applicable up to now. This paper is focused on the Defense Ammunition Information Systems to find the proper way to deal with the secret data of the Defense Information Systems. The purpose is to describe the management plan for the secret data consistent with the current situation of the Military by study for the secret classification and case study. Therefore limitations are considered and solutions are finally suggested in this paper.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.3
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• pp.467-476
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• 2017

In this paper, we analyze Generalized Feistel Network(GFN) Type I, Type II, Type III that round function use SP update function, secret S-box and $k{\times}k$ MDS matirx. In this case an attacker has no advantage about S-box. For each type of GFN, we analyze and restore secret S-box in 9, 6, 6 round using the basis of integral cryptanalysis with chosen plaintext attack. Also we restore secret S-box in 16 round of GFN Type I with chosen ciphertext attack. In conclusion, we need $2^{2m}$ data complexity and ${\frac{2^{3m}}{32k}},{\frac{2^{3m}}{24k}},{\frac{2^{3m}}{36k}}$ time complexity to restore m bit secret S-box in GFN Type I, Type II, Type III.