• 제목/요약/키워드: Stego-Image

검색결과 76건 처리시간 0.027초

텔레그램 메신저 기반의 오디오 스테가노그래피 봇넷 구축 (Construction of an Audio Steganography Botnet Based on Telegram Messenger)

  • 전진;조영호
    • 인터넷정보학회논문지
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    • 제23권5호
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    • pp.127-134
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    • 2022
  • 스테가노그래피(Steganography)란 다양한 멀티미디어 파일에 비밀 메시지를 숨기는 은닉 기법을 말하며, 스테가노그래피 기반의 은닉 통신을 할 때 송신자와 수신자 외에 제 3자는 통신 메시지에 은닉 정보의 존재 여부를 식별하기 매우 어렵다는 장점으로 인해 사이버범죄와 공격에 많이 악용되고 있다. 봇넷은 일반적으로 봇마스터, 봇, 그리고 C&C(Command & Control) 서버로 구성되고 봇마스터에 의해 통제되는 네트워크이며, 중앙집중형, 분산형(P2P), 그리고 하이브리드형 등 다양한 구조를 갖고 있다. 최근에는 봇넷의 은닉성을 강화하기 위해 SNS 플랫폼을 C&C 서버 대신 활용하고 스테가노그래피 기법을 적용하여 C&C 통신을 수행하는 스테고 봇넷(Stego Botnet)에 대한 연구가 활발히 진행되고 있으나, 이미지 또는 비디오 매체 위주의 스테고 봇넷 기법들이 연구되어왔다. 한편, SNS 상에서는 다양한 음원 및 녹음 파일 등과 같은 오디오 파일 역시 활발히 공유되고 있어 오디오 스테가노그래피 기반의 스테고 봇넷에 대한 연구가 필요하다. 따라서, 본 연구에서는 텔레그램 메신저(Telegram Messenger)에서 오디오 파일을 커버 매체로 하고 스테기노그래피 기법을 활용하여 C&C 은닉 통신을 수행하는 스테고 봇넷을 설계 및 구축하고 실험을 통해 파일 형식별, 툴별 은닉용량에 대해 비교 분석한 결과를 제시한다.

최소 왜곡을 위한 새로운 스테가노그래피 방법 (A New Steganographic Method with Minimum Distortion)

  • 롱구이장;아미루자만;김형중
    • 한국정보통신설비학회:학술대회논문집
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    • 한국정보통신설비학회 2008년도 정보통신설비 학술대회
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    • pp.201-204
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    • 2008
  • In this paper a new steganographic method is presented with minimum distortion. This paper focused on DCT rounding error and optimized that in a very easy way, resulting stego image has less distortion than other existing methods. The proposed method compared with F5 steganography algorithm, and the proposed method achieved better performance. This paper considered the DCT rounding error for lower distortion with possibly higher embedding capacity.

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A Secure Method for Color Image Steganography using Gray-Level Modification and Multi-level Encryption

  • Muhammad, Khan;Ahmad, Jamil;Farman, Haleem;Jan, Zahoor;Sajjad, Muhammad;Baik, Sung Wook
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권5호
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    • pp.1938-1962
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    • 2015
  • Security of information during transmission is a major issue in this modern era. All of the communicating bodies want confidentiality, integrity, and authenticity of their secret information. Researchers have presented various schemes to cope with these Internet security issues. In this context, both steganography and cryptography can be used effectively. However, major limitation in the existing steganographic methods is the low-quality output stego images, which consequently results in the lack of security. To cope with these issues, we present an efficient method for RGB images based on gray level modification (GLM) and multi-level encryption (MLE). The secret key and secret data is encrypted using MLE algorithm before mapping it to the grey-levels of the cover image. Then, a transposition function is applied on cover image prior to data hiding. The usage of transpose, secret key, MLE, and GLM adds four different levels of security to the proposed algorithm, making it very difficult for a malicious user to extract the original secret information. The proposed method is evaluated both quantitatively and qualitatively. The experimental results, compared with several state-of-the-art algorithms, show that the proposed algorithm not only enhances the quality of stego images but also provides multiple levels of security, which can significantly misguide image steganalysis and makes the attack on this algorithm more challenging.

LSB Image Steganography Based on Blocks Matrix Determinant Method

  • Shehzad, Danish;Dag, Tamer
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권7호
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    • pp.3778-3793
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    • 2019
  • Image steganography is one of the key types of steganography where a message to be sent is hidden inside the cover image. The most commonly used techniques for image steganography rely on LSB steganography. In this paper, a novel image steganography technique based on blocks matrix determinant method is proposed. Under this method, a cover image is divided into blocks of size $2{\times}2$ pixels and the determinant of each block is calculated. The comparison of the determinant values and corresponding data bits yields a delicate way for the embedment of data bits. The main aim of the proposed technique is to ensure concealment of secret data inside an image without affecting the cover image quality. When the proposed steganography method is compared with other existing LSB steganography methods, it is observed that it not only provides higher PSNR, lower MSE but also guarantees better quality of the stego image.

비밀데이터의 패턴정보에 기반한 새로운 정보은닉 기법 (A New Information Data Hiding Scheme based on Pattern Information of Secret Data)

  • 김기종;신상호;유기영
    • 한국멀티미디어학회논문지
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    • 제15권4호
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    • pp.526-539
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    • 2012
  • 현재까지 연구된 대부분의 정보은닉 기법관련 알고리듬들은 커버영상(cover image)의 변경 또는 조작을 통해 비밀데이터를 삽입(embedding)하여 스테고영상(stego image)을 생성하고, 생성된 스테고영상으로부터 비밀데이터를 추출(extraction)하였다. 이러한 알고리듬은 PSNR의 수치가 높고, 비밀데이터의 수용량(capacity)이 많을수록 좋은 것으로 간주한다. 본 논문에서는 비밀데이터의 패턴(pattern)을 분석하여 숨기는 비밀데이터의 양이 많고, PSNR의 값이 우수한 효율적인 정보은닉 알고리듬을 제안한다. 제안하는 정보은닉 알고리듬은 비밀데이터를 분석하여 비밀데이터 내의 빈도수가 높은 값들을 찾고, 이들의 좌표 값과 인덱스(index)정보를 이용해 커버영상에 삽입한다. 이를 통해 커버영상과 스테고영상 간의 차이는 줄이면서 기존의 제안되었던 알고리듬에 비해 높은 수용량을 보여줌을 실험을 통해 비교한다. 실험결과에서는 5 종류의 비밀 데이터와 8 가지 이하의 패턴을 이용해 커버영상에 삽입하여 생성된 스테고영상과의 차이를 측정한 PSNR과 숨겨진 비밀데이터의 양의 결과를 통해 기존에 제안되었던 알고리듬들 비해 제안하는 정보은닉 알고리듬이 우수함을 보여준다.

FPGA Implementation of LSB-Based Steganography

  • Vinh, Quang Do;Koo, Insoo
    • Journal of information and communication convergence engineering
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    • 제15권3호
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    • pp.151-159
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    • 2017
  • Steganography, which is popular as an image processing technology, is the art of using digital images to hide a secret message in such a way that its existence can only be discovered by the sender and the intended receiver. This technique has the advantage of concealing secret information in a cover medium without drawing attention to it, unlike cryptography, which tries to convert data into something messy or meaningless. In this paper, we propose two efficient least significant bit (LSB)-based steganography techniques for designing an image-based steganography system on chip using hardware description language (HDL). The proposed techniques manipulate the LSB plane of the cover image to embed text inside it. The output of these algorithms is a stego-image which has the same quality as that of the original image. We also implement the proposed techniques using the Altera field programmable gate array (FPGA) and Quartus II design software.

An Image Steganography Scheme based on LSB++ and RHTF for Resisting Statistical Steganalysis

  • Nag, Amitava;Choudhary, Soni;Basu, Suryadip;Dawn, Subham
    • IEIE Transactions on Smart Processing and Computing
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    • 제5권4호
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    • pp.250-255
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    • 2016
  • Steganography is the art and science of secure communication. It focuses on both security and camouflage. Steganographic techniques must produce the resultant stego-image with less distortion and high resistance to steganalysis attack. This paper is mainly concerned with two steganographic techniques-least significant bit (LSB)++ and the reversible histogram transformation function (RHTF). LSB++ is likely to produce less distortion in the output image to avoid suspicion, but it is vulnerable to steganalysis attacks. RHTF using a mod function technique is capable of resisting the most popular and efficient steganalysis attacks, such as the regular-singular pair attack and chi-squared detection steganalysis, but it produces a lot of distortion in the output image. In this paper, we propose a new steganographic technique by combining both methods. The experimental results show that the proposed technique overcomes the respective drawbacks of each method.

이진 이미지에 대한 픽셀값 가중치를 이용한 자료 은닉 기법 연구 (A Data Hiding Method of Binary Images Using Pixel-value Weighting)

  • 정기현
    • 한국군사과학기술학회지
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    • 제11권4호
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    • pp.68-75
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    • 2008
  • This paper proposes a new data hiding method for binary images using the weighting value of pixel-value differencing. The binary cover image is partitioned into non-overlapping sub-blocks and find the most suitable position to embed a secret bit for each sub-block. The proposed method calculates the weighted value for a sub-block to pivot a pixel to be changed. This improves the image quality of the stego-image. The experimental results show that the proposed method achieves a good visual quality and high capacity.

Watermarking Technique using Image Characteristics

  • Jung, Soo-Mok
    • International Journal of Internet, Broadcasting and Communication
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    • 제13권1호
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    • pp.187-193
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    • 2021
  • In this paper, we propose an image watermarking technique that effectively hides confidential data in the LSB of image pixels by utilizing the characteristics of the image. In the proposed technique, the image is precisely divided into boundary surface and normal region other than the boundary surface and performs different processing. The boundary surface existing in the image is created by meeting different regions and contains important information of the image. One bit of confidential data is concealed in the LSB of the pixel at the boundary surface to preserve the characteristics of the boundary surface. In normal region other than the boundary surface, the pixel values are similar, and the change with the adjacent pixel values is smooth. Based on this property, even if the 2 bits of confidential data are hidden in the lower 2 bits of the pixel in the normal region, the difference cannot be visually distinguished. When confidential data is concealed in an image as described above, the amount of confidential data concealed in an image can be increased while maintaining excellent image quality. Concealing confidential data by applying the proposed method increases the amount of confidential data concealed by up to 84.6% compared to the existing method. The proposed technique can be effectively used for commercial image watermarking that hides copyright information.

스테고 영상 화질 개선을 위한 가역 변형의 검토 (Reversible Modification for Improve Quality of Stego Image)

  • 정다정;김홍림;최윤식
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2011년도 하계학술대회
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    • pp.456-458
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    • 2011
  • 본 논문에서는 스테고 영상의 화질을 개선하기 위해 픽셀 값의 주변 통계적 특성을 고려한 보다 정확한 계수값을 사용한 픽셀 변형 방법을 제안한다. 이와 같은 방법을 사용함으로써 기존 방법의 삽입 용량을 유지하면서도 스테고 영상의 왜곡 정도가 줄어 PNSR 수치가 기본 방법보다 높아지게 된다.

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