Earticle

초록

영어

Collusion attack is a very effective attack for digital fingerprinting system. In order to remove or attenuate the fingerprint information hidden in fingerprinted content, a number of users produce a new colluded copy through their own fingerprinted copies. In this paper, we address a novel collusion-resisting desynchronization fingerprinting approach using social network analysis. The novelty of this paper is that collusion attack occurred in a multimedia social network community with high probability. Different from all existing works, with desynchronization model constructed upon social network, the original image is desynchronized to get many similar copies which are different from each other, and then they are assigned and distributed to subscribers according to social network analysis. Theory analysis shows that the presented desynchronization distribution method has significantly better performance than those existing distribution schemes. The experimental results also show that the average colluded images even with only two desynchronized copies have poor visual quality. And the visual quality of colluded images does not improve apparently with the increase of the number of copies.

목차

Abstract
 1. Introduction
 2. Related Works
 3. Analysis of Social Networks
 4. Proposed Fingerprinted Multimedia Distribution Scheme
  4.1. Image Preprocessing for Desynchronization
  4.2. Fingerprints Embedding and Detection
 5. Experimental Results
 6. Conclusion and Future Research
 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 ] Corresponding Author
• 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 Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605