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: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693137
• 关键词: Data; Mining; Cybersecurity

Big data refers to large, continuously growing, and complex data sets. Data mining isthe 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、持续增长和复杂的数据集。数据挖掘是从大数据中提取有用的，隐藏的和以前未知的知识的过程。大数据通常是高度敏感的，有时甚至是特定于个人的，这使得它们难以访问和分析。该研究计划的目标是研究新的数据共享和挖掘技术，重点是医疗保健和网络安全领域大数据的安全性，机密性和隐私问题。研究结果将提高医疗保健界的数据挖掘能力，并加强对加拿大关键网络基础设施的保护。