Analysis of nonlinear collusion attacks on fingerprinting systems for compressed multimedia
被引:0
作者:
Varna, Avinash L.
论文数: 0引用数: 0
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机构:
Univ Maryland, ECE Dept, College Pk, MD 20742 USAUniv Maryland, ECE Dept, College Pk, MD 20742 USA
Varna, Avinash L.
[1
]
He, Shan
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h-index: 0
机构:
Univ Maryland, ECE Dept, College Pk, MD 20742 USAUniv Maryland, ECE Dept, College Pk, MD 20742 USA
He, Shan
[1
]
Swaminathan, Ashwin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Maryland, ECE Dept, College Pk, MD 20742 USAUniv Maryland, ECE Dept, College Pk, MD 20742 USA
Swaminathan, Ashwin
[1
]
Wu, Min
论文数: 0引用数: 0
h-index: 0
机构:
Univ Maryland, ECE Dept, College Pk, MD 20742 USAUniv Maryland, ECE Dept, College Pk, MD 20742 USA
Wu, Min
[1
]
机构:
[1] Univ Maryland, ECE Dept, College Pk, MD 20742 USA
来源:
2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7
|
2007年
关键词:
digital fingerprinting;
collusion resistance;
compressed signals;
anti-collusion dither;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
In this paper, we analyze the effect of various collusion attacks on fingerprinting systems for compressed multimedia. We evaluate the effectiveness of the collusion attacks in terms of the probability of detection and accuracy in estimating the host signal. Our analysis shows that applying averaging collusion on copies of moderately compressed content gives a highly accurate estimation of the host, and can effectively remove the embedded fingerprints. Averaging is thus the best choice for an attacker as the probability of detection and the distortion introduced are the lowest.