Signal Processing in the Encrypted Domain
Signal Processing in the Encrypted Domain
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DOI：
10.1155/2007/82790
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
A. Piva;S. Katzenbeisser
中科院分区：
文献类型：
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作者：
A. Piva;S. Katzenbeisser
数字信号处理领域的最新进展使各种应用领域的许多新服务成为可能，从增强的多媒体内容制作和分发，到用于持续健康监测的先进医疗系统。这些服务的核心是能够安全地处理“有价值的”数字信号，以满足知识产权管理、真实性、隐私和访问控制等安全要求。当前可用的技术解决方案是通过在现有信号处理模块之上构建安全层来应用加密原语，该安全层能够保护它们免受关键信息的泄漏，前提是所涉及的各方或设备彼此信任。这意味着加密层仅用于保护数据不被未经授权的第三方访问或提供真实性。然而，这通常不足以确保应用程序的安全性，因为数据的所有者可能不信任处理设备，或者不信任需要操纵它们的参与者。显然，直接处理加密信号的信号处理算法的可用性将对必须安全地产生、处理或交换信号的应用场景有很大帮助。尽管能够处理加密信号的工具的开发可能看起来是一项艰巨的任务，但最近的一些仍然分散的研究表明，在加密内容中执行信号处理操作确实是可能的，这些研究从数字水印的安全嵌入和检测以及安全内容分发到加密数据的压缩和对加密数据库的访问。我们很高兴推出第一期期刊，完全致力于加密域中的信号处理。这期杂志既有让读者熟悉这一令人兴奋的领域的调查论文，也有讨论最新发展的研究论文。特刊的第一部分包含三篇综述论文：Fontaine和Galand在他们的论文《非专业人员的同态加密综述》中概述了同态加密，这是加密域中信号处理的关键工具之一。对安全多方计算领域的介绍是由Cheung和Nguyen在《可信网络终端之间的安全多方计算》一文中提出的。最后，在Erkin等人的论文《加密多媒体内容的保护和检索：当密码学遇到信号处理》中对加密下的信号处理领域的研究进行了综述。特刊第二部分包括四篇研究论文。Orlandi等人。在《基于同态加密的不经意神经网络计算》一文中引入了神经网络不经意计算的概念。TronCoso-Pastoriza和Perez-Gonzalez在他们的论文《高效的零知识水印检测与改进的对敏感攻击的鲁棒性》中提出了新的零知识水印检测协议。普林斯等人。在他们的论文《匿名指纹与稳健的QIM水印技术》中，我们展示了如何将先进的量化指数调制水印方案与买方-卖方水印协议结合使用。最后，Gschwandtner等人。在他们的论文《2D混沌映射图像加密方案的传输误差和压缩健壮性》中，探索了专门的图像加密方案的特性。最后，我们要感谢所有的作者以及所有的审查者，感谢他们对这一问题的贡献。我们希望读者会喜欢这期特刊，并希望它能鼓励更多的同事将时间投入到这一新颖而令人兴奋的研究领域。
Recent advances in digital signal processing enabled a number of new services in various application domains, ranging from enhanced multimedia content production and distribution, to advanced healthcare systems for continuous health monitoring. At the heart of these services lies the ability to securely manipulate “valuable” digital signals in order to satisfy security requirements such as intellectual property management, authenticity, privacy, and access control. Currently available technological solutions for “secure manipulation of signals” apply cryptographic primitives by building a secure layer on top of existing signal processing modules, able to protect them from leakage of critical information, assuming that the involved parties or devices trust each other. This implies that the cryptographic layer is used only to protect the data against access through unauthorized third parties or to provide authenticity. However, this is often not enough to ensure the security of the application, since the owner of the data may not trust the processing devices, or those actors that are required to manipulate them. It is clear that the availability of signal processing algorithms that work directly on encrypted signals would be of great help for application scenarios where signals must be produced, processed, or exchanged securely. Whereas the development of tools capable of processing encrypted signals may seem a formidable task, some recent, still scattered, studies, spanning from secure embedding and detection of digital watermarks and secure content distribution to compression of encrypted data and access to encrypted databases, have shown that performing signal processing operations in encrypted content is indeed possible. We are delighted to present the first issue of a journal, entirely devoted to signal processing in the encrypted domain. The issue contains both survey papers allowing the reader to become acquainted with this exciting field, and research papers discussing the latest developments. The first part of the special issue contains three survey papers: Fontaine and Galand give an overview of homomorphic encryption, which is one of the key tools for signal processing in the encrypted domain, in their paper “A survey of homomorphic encryption for nonspecialists.” An introduction to the field of securemultiparty computation is provided by the paper “Secure multiparty computation between distrusted networks terminals” by Cheung and Nguyen. Finally, research in the area of signal processing under encryption is surveyed in the paper “Protection and retrieval of encrypted multimedia content: when cryptography meets signal processing” by Erkin et al. The second part of the special issue contains four research papers. Orlandi et al. introduce the notion of oblivious computing with neural networks in the paper “Oblivious neural network computing via homomorphic encryption.” Troncoso-Pastoriza and Perez-Gonzalez present new protocols for zero-knowledge watermark detection in their paper “Efficient zero-knowledge watermark detection with improved robustness to sensitivity attacks.” Prins et al. show in their paper “Anonymous fingerprinting with robust QIMwatermarking techniques” how advanced quantizationindex-modulation watermarking schemes can be used in conjunction with buyer-seller watermarking protocols. Finally, Gschwandtner et al. explore properties of specialized image encryption schemes in their paper “Transmission error and compression robustness of 2D chaotic map image encryption schemes.” Finally, we would like to thank all the authors, as well as all reviewers, for their contribution to this issue. We hope that the readers will enjoy this special issue and that it encourages more colleagues to devote time to this novel and exciting field of research.