• Title/Summary/Keyword: 이미지 암호

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The Effective Protection Mechanism for Digital Images using Transform of the Wavelet in Frequency Domain (주파수 영역에서 웨이브릿 변환을 이용한 디지털 이미지의 효과적인 보호)

  • 최우진;오무송
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.6
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    • pp.937-942
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    • 2002
  • The use of digital imaging technique and digital contents based on internet has grown rapidly for last several years, and the needs of digital image protection become more important. For the purpose of copyright protection on digital image, the verification of authentication techniques like content authentication, ownership authentication, illegal copy and etc are needed. Digital watermarking, the invisible encryption technique to insert digital watermark into image the sophisticated perceptual information should be used for providing transparency and robustness of images on watermarking process. In this paper, we implement the algorithm for preventing forged attack, ownership protection and authentication by transforming the wavelet algorithms in frequency domain in terms of human visual system.

Selective Encryption Scheme Based on Region of Interest for Medical Images (의료 영상을 위한 관심영역 기반 선택적 암호 기법)

  • Lee, Won-Young;Ou, Yang;Rhee, Kyung-Hyune
    • Journal of Korea Multimedia Society
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    • v.11 no.5
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    • pp.588-596
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    • 2008
  • For the patients' privacy, secure access control of medical images is essentially necessary. In this paper, two types of Region of Interest (ROI)-based selective encryption schemes are proposed, which concentrate on the security of crucial parts in medical images. The first scheme randomly inverts the most significant bits of ROI coefficients in several high frequency subbands in the transform domain, which only incurs little loss on compression efficiency. The second scheme employs a symmetric key encryption to encrypt selectively the ROI data in the final code-stream, which provides sufficient confidentiality. Both of two schemes are backward compatible so as to ensure a standard bitstream compliant decoder so the encrypted images can be reconstructed without any crash.

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A Study Medium-based safe File Management Security System on the cloud Environment (클라우드 환경에서 매체기반의 안전한 파일관리 보안 시스템에 대한 연구)

  • Kim, Hee-Chul
    • Journal of Convergence for Information Technology
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    • v.9 no.1
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    • pp.142-150
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    • 2019
  • This study is a file management security system that encrypts and decrypts computer and cloud data by using Bluetooth based cryptographic module. It is a necessary solution in terms of abuse of personal information and protection of social and national information. We developed H/W and S/W for SFMS(: Safe File Management Security) related Bluetooth module in cloud environment and implemented firmware development, encryption key generation and issuance, client program for system mobile and key management system. In the terminal internal encryption and decryption, SFMS was developed to ensure high security that the hacking itself is not possible because key values exist separately for each file.

A Robustness of Watermarking Using Random Dot Distribute Image (랜덤한 점분포를 가진 영상을 사용한 워터마킹의 견고성)

  • 이인정
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2002.11a
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    • pp.66-71
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    • 2002
  • In Generally, a imbedding and extracting is good as watermark using a random dot image. In this paper, when the autostreogram which has some randomness is used watermark image, distortion rate is low and extraction rate is high. Using this quality, when any logo image is transformed to same image domain randomly, distortion rate is low and extraction rate is high, more over the robustness is good in spite of hard clipping.

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A Robustness of Watermarking Using Random Dot Distribute Image (랜덤한 점분포를 가진 영상을 사용한 워터마킹의 견고성)

  • 이인정
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2002.11a
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    • pp.66-71
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    • 2002
  • In Generally, a imbedding and extracting is good as watermark using a random dot image. In this paper, when the autostreogram which has some randomness is used watermark image, distortion rate is low and extraction rate is high. Using this quality, when any logo image is transformed to same image domain randomly, distortion rate is low and extraction rate is high, more over the robustness is good in spite of hard clipping.

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Design of a Block Cipher Algorithm for Database (데이터베이스를 위한 블록 암호 알고리즘 설계)

  • Kim, Wha-Young;Suh, Yong-Moo
    • 한국IT서비스학회:학술대회논문집
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    • 2003.05a
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    • pp.560-567
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    • 2003
  • 최근 기업의 업무처리에 정보시스템의 의존도가 높아짐에 따라, 정보 보안 침해가 더욱 심해지고 있으며, 정보 유출 사례도 증가하고 있다. 이러한 가운데 기업은 중요한 정보를 보호하기 위해서 각종 보안시스템을 도입하여 사용하고 있으나, 해커들의 불법적인 침입과 기업 내 정보시스템 사용자들에 의한 정보유출 문제에 매우 취약한 실정이다. 이로 인하여 기업의 중요한 정보가 침해를 받거나 적절하게 보호되지 못하면, 기업의 이미지나 고객의 프라이버시 보호에 매우 큰 손상을 입을 수 있다. 그러므로 데이터베이스의 자료는 변조, 훼손, 유출 등 각종 내 외부의 위협으로부터 안전하게 보호되어야 한다. 이를 위해 기업의 중요 자산인 데이터베이스의 정보보호, 즉 데이터베이스의 정보를 암호화함으로써 정보의 유출 및 침해를 예방하고자, 이에 필요한 효율적이고 안전한 블록 암호 알고리즘의 설계 결과를 제시한다.

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A Study on Image Integrity Verification Based on RSA and Hash Function (RSA와 해시 함수 기반 이미지 무결성 검증에 관한 연구)

  • Woo, Chan-Il;Goo, Eun-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.11
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    • pp.878-883
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    • 2020
  • Cryptographic algorithms are used to prevent the illegal manipulation of data. They are divided into public-key cryptosystems and symmetric-key cryptosystems. Public-key cryptosystems require considerable time for encryption and decryption compared to symmetric-key cryptosystem. On the other hand, key management, and delivery are easier for public-key cryptosystems than symmetric-key cryptosystems because different keys are used for encryption and decryption. Furthermore, hash functions are being used very effectively to verify the integrity of the digital content, as they always generate output with a fixed size using the data of various sizes as input. This paper proposes a method using RSA public-key cryptography and a hash function to determine if a digital image is deformed or not and to detect the manipulated location. In the proposed method, the entire image is divided into several blocks, 64×64 in size. The watermark is then allocated to each block to verify the deformation of the data. When deformation occurs, the manipulated pixel will be divided into smaller 4×4 sub-blocks, and each block will have a watermark to detect the location. The safety of the proposed method depends on the security of the cryptographic algorithm and the hash function.

A Key Exchange Protocol based on the Steganography with the QR code (스테가노그라피 기법이 적용된 QR코드 이미지 기반의 키 교환 프로토콜)

  • Lee, Gil-Je;Yoon, Eun-Jun;Yoo, Kee-Young
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.6
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    • pp.173-179
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    • 2013
  • The traditional key exchange protocols are transmitted by using the cryptographic. However, these protocols are compromised by the attacker. To solve this problem, this paper proposes a key exchange protocol based on the steganography with the QR code. The steganography technique embed secret information to the images, documents, videos, and MP3 files and transmit to the others. The attacker can't know that the transmission data is the secret data. Therefore, the sender transmits efficiently and safely the secret data to the others. In additional, the cover image is using the QR code image to insert the secret key. If attackers scan the QR code, then they just read the information or connect URL. They can not be recognized that the QR code image is hiding the secret key. The experiments compare the QR code image with the well-known image about the distortion and the safety.

The Prediction of Cryptocurrency Prices Using eXplainable Artificial Intelligence based on Deep Learning (설명 가능한 인공지능과 CNN을 활용한 암호화폐 가격 등락 예측모형)

  • Taeho Hong;Jonggwan Won;Eunmi Kim;Minsu Kim
    • Journal of Intelligence and Information Systems
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    • v.29 no.2
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    • pp.129-148
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    • 2023
  • Bitcoin is a blockchain technology-based digital currency that has been recognized as a representative cryptocurrency and a financial investment asset. Due to its highly volatile nature, Bitcoin has gained a lot of attention from investors and the public. Based on this popularity, numerous studies have been conducted on price and trend prediction using machine learning and deep learning. This study employed LSTM (Long Short Term Memory) and CNN (Convolutional Neural Networks), which have shown potential for predictive performance in the finance domain, to enhance the classification accuracy in Bitcoin price trend prediction. XAI(eXplainable Artificial Intelligence) techniques were applied to the predictive model to enhance its explainability and interpretability by providing a comprehensive explanation of the model. In the empirical experiment, CNN was applied to technical indicators and Google trend data to build a Bitcoin price trend prediction model, and the CNN model using both technical indicators and Google trend data clearly outperformed the other models using neural networks, SVM, and LSTM. Then SHAP(Shapley Additive exPlanations) was applied to the predictive model to obtain explanations about the output values. Important prediction drivers in input variables were extracted through global interpretation, and the interpretation of the predictive model's decision process for each instance was suggested through local interpretation. The results show that our proposed research framework demonstrates both improved classification accuracy and explainability by using CNN, Google trend data, and SHAP.

A Proactive Secret Image Sharing Scheme over GF(28) (유한 체상에서의 사전 비밀이미지 공유 기법)

  • Hyun, Suhng-Ill;Shin, Sang-Ho;Yoo, Kee-Young
    • Journal of Korea Multimedia Society
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    • v.16 no.5
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    • pp.577-590
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    • 2013
  • Shamir's (k,n)-threshold secret sharing scheme is not secure against cheating by attacker because the signature of participants is omitted. To prevent cheating, many schemes have been proposed, and a proactive secret sharing is one of those. The proactive secret sharing is a method to update shares in the secret sharing scheme at irregular intervals. In this paper, a proactive image secret sharing scheme over $GF(2^8)$ is proposed for the first time. For the past 30 years, Galois field operation is widely used in order to perform the efficient and secure bit operation in cryptography, and the proposed scheme with update phase of shadow image over $GF(2^8)$) at irregular intervals provides the lossless and non-compromising of secret image. To evaluate security and efficiency of images (i.e. cover and shadow images) distortion between the proposed scheme and the previous schemes, embedding capacity and PSNR are compared in experiments. The experimental results show that the performances of the embedding capacity and image distortion ratio of the proposed scheme are superior to the previous schemes.