Data Mining for Cybersecurity

网络安全数据挖掘

• 批准号: 1000230623-2014
• 负责人: Fung, Benjamin
• 金额: $ 8.74万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=651274
• 关键词: Data; Mining; Cybersecurity

Big data refers to large, continuously growing, and complex data sets. Data mining is*the process of extracting useful, hidden, and previously unknown knowledge from big *data. Big data are often highly sensitive, and sometimes person-specific, making *them difficult to access and analyze. The objective of this research program is to *investigate novel data sharing and mining techniques with emphasis on the security, *confidentiality, and privacy issues of big data in the healthcare and cyber security *sectors. The research results will enhance the data mining capability of the *healthcare community and strengthen the protection of critical cyber infrastructure in *Canada.

大数据是指大型，不断增长且复杂的数据集。数据挖掘是 *从Big *数据中提取有用，隐藏和以前未知知识的过程。大数据通常非常敏感，有时是特定于人的，这使得它们难以访问和分析。该研究计划的目的是 *研究新颖的数据共享和采矿技术，重点是安全性和网络安全行业中大数据的安全性和隐私问题。该研究结果将增强 *医疗保健社区的数据挖掘能力，并加强加拿大 *加拿大关键网络基础设施的保护。