Collaborative Research: ITR: Secure Signal Embedding -- Code Design and Cryptanalysis

合作研究：ITR：安全信号嵌入——代码设计和密码分析

• 批准号: 0325311
• 负责人: Kannan Ramchandran
• 金额: $ 68万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325311&HistoricalAwards=false
• 关键词: Collaborative; Research; ITR; Secure; Signal

ABSTRACT0325311Kannan RamchandranU of California-BerkeleyA variety of technologies have recently become popular for embedding one set of data into another; this includes watermarking, steganography, fingerprinting and traitor tracing. These technologies are finding applications in emerging areas such as intellectual property protection, media authentication, database indexing, broadcast encryption, broadcast monitoring, and covert communications. The application areas are expanding: they also include communication problems such as broadcast channels and wireless communications.While the development of these technologies has largely been heuristic, recent research has demonstratedthe feasibility of a more scientific approach rooted in information theory. This project expands this scientific framework and explores the multiple fundamental connections between the signal embedding applications listed above. One central theme is the role of binning schemes for information transmission; random binning schemes are known to be capacity-achieving in problems of communications with side information at the encoder and/or decoder. Yet these analyses are based on restrictive assumptions (such as coherent communication channels) which have limited the practical applicability of binning schemes so far. The second central theme of this project is the premise that security requirements impose constraints which are naturally addressed by a complexity-based cryptographic approach rather than a purely information-theoretic or decision-theoretic approach. This project develops a systematic framework for integrating the information-theoretic and the cryptographic aspects of secure signal embedding problems.This project is highly multidisciplinary and involves a synergy between research and educational activities in signal processing, communications, coding theory, information theory, and cryptography.

最近，将一组数据嵌入到另一组数据中的各种技术变得流行起来，这包括水印、隐写术、指纹识别和叛逆者追踪。这些技术正在新兴领域中找到应用，例如知识产权保护、媒体认证、数据库索引、广播加密、广播监控和隐蔽通信。 应用领域正在扩大：它们还包括广播信道和无线通信等通信问题。虽然这些技术的发展在很大程度上是启发式的，但最近的研究表明，基于信息论的更科学的方法是可行的。该项目扩展了这一科学框架，并探索了上述信号嵌入应用之间的多种基本联系。一个中心主题是分箱方案在信息传输中的作用;众所周知，随机分箱方案在编码器和/或解码器处与辅助信息的通信问题中可以实现容量。然而，这些分析是基于限制性的假设（如相干通信信道），限制了实际应用的分箱计划到目前为止。该项目的第二个中心主题是安全要求施加约束的前提，这些约束自然由基于复杂性的加密方法解决，而不是纯粹的信息理论或决策理论方法。该项目开发了一个系统的框架，用于整合安全信号嵌入问题的信息理论和密码学方面。该项目是高度多学科的，涉及信号处理，通信，编码理论，信息理论和密码学的研究和教育活动之间的协同作用。