Earticle

초록

영어

Average collusion attack is a very effective attack for digital fingerprinting system. Moreover, the commercial value of the colluded content is often time-sensitive. The more profit the colluder will make from it when the colluded copy is distributed earlier. This paper presents a new collusion-resilience approach with recursive chaotic desynchronization and social network. It has processed chaotic transformations due to random image grid based on chaos. The experimental results show that collusion even with only two copies results in degradation of the image metric, even if those traitors try to resynchronization using image registration technology. However, it will take expensive computational cost to do that, and the visual quality is degraded expensively with the increase of the number of fingerprinted copies.

목차

Abstract
 1. Introduction
 2. Desynchronized Content Distribution
  2.1. Community detection
  2.2. The Desynchronization Framework
  2.3. Chaotic Desynchronization Based on Random Grid
  2.4. Distribution Based on Collusion Probability
 3. Security and Performance Analysis
  3.1. Visual Security
  3.2. The Security of Distribution
  3.3. Image Registration Analysis
  3.4. Robustness
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Cong-huan Ye [ College of Computer and Information Science, Hubei Engineering University, Xiaogan, Hubei, China ]
• Zeng-gang Xiong [ College of Computer and Information Science, Hubei Engineering University, Xiaogan, Hubei, China ]
• Yao-Ming Ding [ College of Computer and Information Science, Hubei Engineering University, Xiaogan, Hubei, China ]
• Xueming Zhang [ College of Computer and Information Science, Hubei Engineering University, Xiaogan, Hubei, China ]
• Guangwei Wang [ College of Computer and Information Science, Hubei Engineering University, Xiaogan, Hubei, China ]
• Fang Xu [ College of Computer and Information Science, Hubei Engineering University, Xiaogan, Hubei, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605