• Proceedings of the Korea Multimedia Society Conference
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• 2000.11a
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• pp.530-533
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• 2000

암호 통신의 한 방법인 화상 심층암호(image steganography)는 화상 내에 기밀정보를 몰래 숨겨서 전송하는 것으로 표면상은 의미 있는 형태를 유지하지만, 실제로는 그 속에 기밀 정보를 몰래 은닉하는 형태로서 제3자는 기밀 정보의 존재 여부를 확인할 수 없기 때문에 공격의 위협을 감소시킬 수 있다. 특히 디지털 화상을 이용하는 화상 심층암호는 저작권 보호 수단으로 활용되고 있다. 본 논문은 256레벨의 그레이 화상에 다치 오차확산법을 이용하여 디더링을 수행하는 단계에서 기밀 정보를 은닉하는 새로운 방법을 제안한다

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.151-154
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• 2004

의미 없는 커버 영상에 비밀 메시지를 몰래 숨겨 송/수신자간에 서로 비밀 통신을 할 수 있는 기술인 스테가노그라피 기법을 제안한다. 제안 방식은 커버 영상을 연속 두 픽셀 단위의 블록으로 나누고, 블록내 두 픽셀간의 차분 값과 양자화 범위를 이용하여 비밀 메시지를 은닉시킨다. 특히, 비밀 양자화 범위를 사용하기 때문에 제 3자에 의해 비밀 메시지가 해독되는 것을 방지할 수 있다. 또한 제안 방식은 비밀 메시지가 삽입된 스테고 영상의 화질이 비가시적임을 다양한 영상을 이용하여 시험해 본 결과 그 유효성을 확인할 수 있었다.

• Proceedings of the Korea Multimedia Society Conference
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• 2004.05a
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• pp.155-158
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• 2004

본 논문은 비트 플레인의 위치에 따라 블록별 적응적인 임계값를 이용하여 정보를 삽입하는 스테가노그라피 방법을 연구하였다. 다양한 이미지를 대상으로 고정 임계값을 적용하는 기존의 방법과 영상의 특징에 따라 비트 플레인별 임계값이 적응적으로 산출되는 제안한 방법에 대해서 최대용량을 측정하고, 같은 양의 정보를 삽입한 후 화질을 비교 분석하였다. 그 결과 기존의 방법 보다 용량면이나 화질면에서 나은 결과를 얻을 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.530-533
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• 2013

본 연구에서는 음악연주 정보를 기록하는 SMF (Standard MIDI File) 대한 정보 하이딩을 스테가노그래피의 관점에서 재고 해 보았다. 그 결과 그 중 SMF 데이터 스트림에 메시지를 은닉 하는 방법이 주로 이용되어 왔다. 연주 정보 통제 방법은 포함할 수 정보량의 증대가 어렵다는 문제가 있었다. 이 보고서는 기존 방식과는 다른 성분인 듀레이션의 확률적 확산을 이용해 정보를 은닉하는 SMF 스테가노그래피를 제안한다.

• Journal of Korea Multimedia Society
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• v.2 no.2
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• pp.155-165
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• 1999

Because the encrypted data is random, there is a possibility of threat that attacker reveals the secret data. On the other hand, as the image steganogrphy is to embed the secret data into cover image and to transmit the embedded image to receiver, an attacker could not know the existence of secret data even though he/she sees the embedded image, therefore the sender may reduce the threat of attack. In the image steganography, the secret data is embedded by modifying value of pixels as a form of noise. If the secret data is embedded into gray image, the degradation of image quality results from the modifications of image due to noise. Therefore many methods have been proposed to embed the secret data while dethering the gray image, but the existing method using error-diffusion has a problem that any patterns such as a diagonal lines or vertical take place due to embedding the secret data at the fixed interval. To solve this problem and to improve the existing method, we proposed the new method that embeds the secret data at changed point with respect to 1's run-length or at the position where has the minimum difference with the original dithered value. We evaluated the performance of the proposed method by computer simulation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.1
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• pp.96-102
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• 2009

Due to the rapid growth of the Internet, it is possible to distribute the digital content efficiently. However, the need for image data protection and secret communication technique is also on the rise because of an infringement of the copyright by malicious attackers. Shamir and Lin-Tsai proposed simple secret image encryption algorithms based on the principle of secret sharing, respectively. However, their secret sharing schemes have a serious problem which can be declined the image quality and it is possible for third party to know embed information. In this paper, we propose a new secret sharing scheme using gray code that can be increased the image quality and security. As a result of our experiment, the proposed scheme is not only shown of good image quality and but also provide enhanced security compare with Shamir and Lin-Tasi's schemes.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.10
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• pp.118-127
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• 2014

DNA data storage refers to any technique for storing massive digital data in base sequence of DNA and has been recognized as the future storage medium recently. This paper presents an information hiding method for DNA data storage that the massive data is hidden in non-coding strand based on DNA steganography. Our method maps the encrypted data to the data base sequence using the numerical mapping table and then hides it in the non-coding strand using the key that consists of the seed and sector length. Therefore, our method can preserve the protein, extract the hidden data without the knowledge of host DNA sequence, and detect the position of mutation error. Experimental results verify that our method has more high data capacity than conventional methods and also detects the positions of mutation errors by the parity bases.

• 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 Korea Multimedia Society
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• v.9 no.2
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• pp.215-225
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• 2006

Binary images, such as cartoon character images, text images and signature images, which consist of two values with black and white have more difficulties inserting imperceptible secret data than color images. Steganography using binary cover images is not easy to satisfy requirements for both the imperceptibility of stego images and a high embedding rate of secret data at the same time. In this paper, we propose a scheme that can get both the high quality of stego images and a high embedding rate by supplementing the advantages of previous research. In addition, the insertion of the proposed method changes only existing pixels of the imperceptible position and can embed the secret data of [$log_2(mn+1)-2$] bits in a block with size of $m{\times}n$.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.4
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• pp.205-211
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• 2019

Steganalysis is a technique that aims to detect and recover data hidden by steganography. Steganalytic methods detect hidden data by analyzing visual and statistical distortions caused during data embedding. However, for recovering the hidden data, they need to know which steganographic methods the hidden data has been embedded by. Therefore, we propose a hierarchical convolutional neural network (CNN) structure that identifies a steganographic method applied to an input image through multi-level classification. We trained four base CNNs (each is a binary classifier that determines whether or not a steganographic method has been applied to an input image or which of two different steganographic methods has been applied to an input image) and connected them hierarchically. Experimental results demonstrate that the proposed hierarchical CNN structure can identify four different steganographic methods (LSB, PVD, WOW, and UNIWARD) with an accuracy of 79%.