项目名称: 云服务环境下知识发现与数据挖掘的安全与隐私保护关键技术
项目编号: No.61272306
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 自动化技术、计算机技术
项目作者: 刘君强
作者单位: 浙江工商大学
项目金额: 77万元
中文摘要: 随着知识经济时代的到来,运用数据挖掘和知识发现技术将各种数据转换成信息与知识并保障其安全,已成为提高一个组织乃至国家竞争力的核心。互联网规模急剧膨胀、应用数据量爆炸性增长、信息技术日益复杂,使得企业一方面更加重视数据挖掘与知识发现,另一方面因难以驾驭复杂的技术转而向云服务商外包数据存储与数据挖掘服务。这种基于云计算的知识发现与数据挖掘服务,在内容安全、内容隐私、行为隐私三个方面受到非常严峻的威胁。 针对由云服务商、数据所有者、用户三方以及云数据存储、云数据挖掘服务、云数据查询服务三大构件组成的架构,研究基于同态密码的内容安全技术、针对同态加密数据的挖掘算法;评估各类数据和挖掘结果的内容隐私风险,探讨灵活的保护原则,研究高效用的过滤技术,设计基于同态加密的内容隐私过滤算法;研究数据所有者和用户行为隐私保护原则,探讨基于密码协议的行为隐私保护技术。为基于云计算的数据挖掘服务提供关键技术。
中文关键词: 知识发现和数据挖掘;大数据分析;云计算;隐私保护;信息安全
英文摘要: With the development of knowledge economy, information and knowledge is becoming a strategic resource for an organization as well as for a nation. Employing knowledge discovery and data mining technology to transform data into useful information and knowledge and securing such a strategic resource has been an important means for an organization to maintain and strengthen its competitiveness. The radical expansion of the internet, the exponential growth of data in volume, and the ever changing information technology, make it hard for an organization to cope with the radical development. More and more businesses are outsourcing their data storage and data mining services to a third party, i.e., resorting to cloud computation, which however is suffering from security and privacy threats and attacks, which can be categorized into security and privacy threats with respect to the content, and privacy threats with respect to the behavioural patterns of individuals. Such threats have been ever emerging and have not been well addressed yet. This research aims at proposing a suite of mechanisms to security and privacy protection for data mining services using cloud computing. In particular, this research considers three groups of parties, namely cloud service providers, data owners, and data users as well as three categ
英文关键词: Knowledge discovery and data mining;big data analytics;cloud computing;privacy preserving;information security