CIF: Medium: Collaborative Research: Toward a General Theory of Information Transfer via Timing

CIF：媒介：协作研究：通过计时实现信息传输的一般理论

• 批准号: 1065022
• 负责人: Negar Kiyavash
• 金额: $ 61.5万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1065022&HistoricalAwards=false
• 关键词: CIF; Medium; Collaborative; Research; Toward

Information theory, communication theory, and statistical signal processing have proven spectacularly successful as innovation engines for communication, data compression, and information processing technologies. Although in principle these theories are quite general, in practice they are most useful for a particular family of models, such as discrete Markov sources and channels with additive Gaussian noise. Although this family is quite rich and encompasses many practical technologies, there are several important scenarios thatfall outside of these models. In particular, the timing of discrete events is the modality of interest in many applications, such as neuroscienceand certain problems in network security, and this modality does not fit neatly into the standard classes. This research involvesextending information theory, communication theory, and statistical signalprocessing to develop a general theory of information transfer via timing. The first phase of this research involves solving several concreteproblems involving information transfer via timing, such as thesecrecy capacity of timing channels and how to minimize informationtransfer via timing side channels in both wireless and wirelinenetworks. The second phase involves interconnecting these disparateproblems to form a general theory of information transfer via timing.By elevating the role of timing in information transfer,this research better positions the fields of information theory,communication theory, and statistical signal processing toimpact allied fields such as networking, neuroscience, and operations research, where timing and delay are of fundamentalimportance. This impact is facilitated through special topics courses and invited sessions at conferences, both of which are designed to attract participants from a range of areas.

信息理论、通信理论和统计信号处理已经被证明是通信、数据压缩和信息处理技术的创新引擎。虽然在原则上这些理论是相当普遍的，在实践中，他们是最有用的一个特定的家庭的模型，如离散马尔可夫源和信道加性高斯噪声。虽然这个系列非常丰富，包含了许多实用的技术，但有几个重要的场景不在这些模型之内。特别是，离散事件的定时是许多应用中感兴趣的模态，例如神经科学和网络安全中的某些问题，并且这种模态不完全适合标准类。这项研究涉及扩展信息理论，通信理论和统计信号处理，以发展一个一般的理论，信息传递通过时间。本研究的第一阶段涉及解决几个具体的问题，涉及通过定时的信息传输，如定时信道的通信容量和如何最大限度地减少信息传输通过定时侧信道在无线和有线网络。第二阶段是将这些复杂的问题联系起来，形成一个通过时间的信息传递的一般理论。通过提升时间在信息传递中的作用，这项研究更好地定位了信息论、通信论和统计信号处理领域，以影响诸如网络、神经科学和运筹学等相关领域，在这些领域，时间和延迟是至关重要的。通过专题课程和会议特邀会议促进这种影响，这两种课程都旨在吸引来自一系列领域的参与者。