Recent Fingerprinting Techniques with Cryptographic Protocol

Kuribayashi, Minoru

doi:10.5772/8522

Cited by 5 publications

(8 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…where SSIM denotes the SSIM , µ x denotes the average of x, µ y denotes the average of y, σ 2 x denotes the variance of x, σ 2 y denotes the variance of y, σ xy denotes the covariance of x and y, and c 1 and c 2 are two variables to stabilize the division with weak denominator. c 1 = (k 1 R) 2 and c 2 = (k 2 R) 2 , where R denotes the dynamic range of the pixel values (typically 2 #bitsperpixel -1), and k 1 = 0.01 and k 2 = 0.03 by default. The SSIM index then ranges from -1 to +1.…”

Section: Securitymentioning

confidence: 99%

“…The author is with The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut's University of Technology North Bangkok, Thailand, E-mail: wannida.s@tggs.kmutnb.ac.th2 The author is with Department of Electrical and Telecommunication Engineering, Rajamangala University of Technology Krungthep, Thailand, E-mail: adisorn.s@mail.rmutk.ac.th…”

mentioning

confidence: 99%

See 1 more Smart Citation

Image Steganography-based Copyright and Privacy-Protected Image Trading Systems

Sae-Tang,

Sirikham

2023

ECTI-CIT Transactions

View full text Add to dashboard Cite

This paper proposes steganography-based copyright- and privacy-protected image trading systems using image transformation, i.e., either discrete cosine transform (DCT) or Hadamard transform (HT). In the systems, there are a content provider (CP), a consumer, the first trusted third party (TTP), and the second TTP. To protect the copyright of the image, the consumer ID is embedded into the amplitude components of the commercial image by the first TTP using the digital fingerprinting technique, and to protect the consumer's privacy against the first TTP and a malicious third party (s), the image steganography is applied to the commercial image by using image transformation. A color dummy image is used instead of a gray dummy image for security purposes. After applying the image transformation to both images, the coefficient signs of the commercial image are replaced by the coefficient signs of the dummy image pixel-by-pixel so that the inversely transformed commercial image looks like the dummy image instead of the commercial image. Once the consumer receives the fingerprinted image from the first TTP and the coefficient signs of the commercial image from the second TTP, the consumer reconstructs the fingerprinted commercial image without losing the hidden fingerprint at all because of the compatibility of the proposed image steganography method and the amplitude-based fingerprinting method. The experimental results confirm that the stego-images generated by the proposed systems do not look suspicious with higher qualities compared with those generated by existing systems. Moreover, the fingerprinted image quality and the correct fingerprint extracting rate have been improved by the proposed systems.

show abstract

Section: Securitymentioning

confidence: 99%

mentioning

confidence: 99%

Image Steganography-based Copyright and Privacy-Protected Image Trading Systems

Sae-Tang,

Sirikham

2023

ECTI-CIT Transactions

View full text Add to dashboard Cite

show abstract

“…In copyright-protected image trading systems [1][2][3], the consumer ID is embedded into the original commercial image by the CP using a fingerprinting technique as shown in Fig. 1.…”

Section: Conventional Copyright-and Privacy-protected Image Tradingmentioning

confidence: 99%

“…Copyright protection and privacy protection are very important for such kinds of goods. In image trading systems, a commercial image is always copyright-protected before being sold [1][2][3]. Moreover, consumers also need privacy protection.…”

Section: Introductionmentioning

confidence: 99%

A New Copyright- and Privacy-Protected Image Trading System Using a Novel SteganographyBased Visual Encryption Scheme

2019

View full text Add to dashboard Cite

In copyright- and privacy-protected image trading systems, the image sent to the trusted third party (TTP) is visually encrypted, and the image is traditionally unrecognizable. The image, however, is suspicious and has possibility to be attacked. Image steganography then becomes more interesting than image encryption for this application, however, applying image steganography instead of image encryption degrades the fingerprint extraction performance. In addition, the CP is allowed to directly contact with the consumer in the conventional systems. Thus, the consumer’s privacy is not protected completely. This paper then proposes a new copyright- and privacy-protected image trading system with a novel steganography-based visual encryption scheme, where the scheme protects a commercial image much more securely by generating a recognizable image instead of a suspicious encrypted image. By replacing amplitude components of a dummy image by those of a commercial image, the output image looks like a degraded dummy image instead of the commercial image, while it contains some details of the commercial image, i.e., the amplitude components of the commercial image are hidden into a dummy cover image. A discrete cosine transform-based fingerprinting method, which is compatible with the proposed amplitude component replacing scheme, is also proposed in this paper to solve the problem of applying image steganography. As another contribution of this paper, the CP is not allowed to directly send the image reconstruction key to the consumer, for further consumer’s privacy protection. The second TTP is then introduced to the proposed system, and in addition, the image reconstruction key is encrypted by the CP before being sent to the consumer via the second TTP for more security. Experimental results show that the proposed scheme generates recognizable images and perfectly visually encrypts the commercial images. It also achieves much higher reconstructed image qualities than those of the conventional scheme, and the proposed system simultaneously enhances the fingerprinting performance using the proposed compatible fingerprinting method.

show abstract

“…는 (k-1, k는 블록의 개수)의 부정자 추 적을 증명하였는데, 이는 사용자의 각 핑거프린팅 코드 사이에 존재하는 마킹가정 (Marking Assumption) [10] 을 이용하였다. Rhee는 [11] (1) ,w (2) ,...w (c) }⊂Γ으로 연합이라고 한다.…”

unclassified

Traitor Traceability of Colluded Multimedia Fingerprinting code Using Hamming Distance on XOR Collusion Attack

Chung¹,

Rhee²

2013

Journal of the Institute of Electronics and Information Enginee

View full text Add to dashboard Cite

For the traitor tracing of multimedia content, this paper presents the classification algorithm of XOR collusion attack types using hamming distance, which applies to the colluded fingerprinting codes. The conventional traitor decision hinges on the colluded fingerprinting code used by a correlation coefficient, but the proposed scheme uses hamming distance. While XOR collusion attack employing a correlation coefficient is impossible to trace the traitors about 50% colluders due to a serious XOR linear problem, our method improves the performance of traceability to trace at least 1 traitor using hamming distance, and thus, the functional behavior of the proposed traitor traceability is coincided with Probability Scheme.

show abstract

Recent Fingerprinting Techniques with Cryptographic Protocol

Cited by 5 publications

References 36 publications

Image Steganography-based Copyright and Privacy-Protected Image Trading Systems

Image Steganography-based Copyright and Privacy-Protected Image Trading Systems

A New Copyright- and Privacy-Protected Image Trading System Using a Novel SteganographyBased Visual Encryption Scheme

Traitor Traceability of Colluded Multimedia Fingerprinting code Using Hamming Distance on XOR Collusion Attack

Contact Info

Product

Resources

About