Information Theory and Applications

信息论及其应用

• 批准号: CRC-2016-00083
• 负责人: Yang, EnHui
• 金额: $ 14.57万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695214
• 关键词: Information; Theory; Applications

With data collected from every corner of our society, we are facing big data challenges: how to efficiently and securely deal with increasing data volume, velocity, and variety, with the goal of empowering people and our society? Addressing these challenges from an information theoretic perspective, the proposed research will explore novel methods for efficiently representing big data, develop new tools for enabling big data analytics, and propose advanced security concepts/protocols for protecting big data. Major achievements will include advanced coding paradigms and theories, new key security concepts, and novel algorithms and protocols for enabling big data analytics, compression, and protection.

随着数据从社会各个角落收集，我们面临着大数据挑战：如何高效、安全地处理不断增加的数据量、速度和种类，以增强人们和社会的能力？为了从信息论的角度解决这些挑战，拟议的研究将探索有效表示大数据的新方法，开发用于实现大数据分析的新工具，并提出用于保护大数据的先进安全概念/协议。主要成就将包括先进的编码范式和理论、新的关键安全概念以及用于实现大数据分析、压缩和保护的新颖算法和协议。