挑战基于内容的图像检索系统的安全性

Thanh-Toan Do, Ewa Kijak, T. Furon, L. Amsaleg
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引用次数: 14

摘要

基于内容的图像检索(CBIR)最近被用作一种防止多媒体内容盗版的过滤机制。在过去几年中,许多出版物都提出了非常强大的方案,尽管经过了严格的修改,仍能检测到盗版内容。由于这些系统都没有从安全角度解决盗版问题,现在是时候检查它们是否安全了:海盗是否可以通过仔细研究他们使用的技术来对CBIR系统发动暴力攻击?本文对最先进的CBIR系统中使用的典型技术块的安全缺陷进行了初步分析。现在就它们的内在安全性得出任何明确的结论还为时过早,但它激励并鼓励对这一主题进行进一步的研究。
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Challenging the security of Content-Based Image Retrieval systems
Content-Based Image Retrieval (CBIR) has been recently used as a filtering mechanism against the piracy of multimedia contents. Many publications in the last few years have proposed very robust schemes where pirated contents are detected despite severe modifications. As none of these systems have addressed the piracy problem from a security perspective, it is time to check whether they are secure: Can pirates mount violent attacks against CBIR systems by carefully studying the technology they use? This paper is an initial analysis of the security flaws of the typical technology blocks used in state-of-the-art CBIR systems. It is so far too early to draw any definitive conclusion about their inherent security, but it motivates and encourages further studies on this topic.
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