大数据安全保障关键技术分析综述

Review of Big Data Security Critical Technologies

针对作为各个行业信息化建设重要基础支撑的大数据在收集、存储、传输和使用过程中面临的诸多安全风险,分析了大数据在这些过程中面临的安全威胁.综述了大数据相关系统平台和大数据应用中安全保障的关键技术及最新进展,包括用户访问控制、数据隔离、数据完整性、隐私保护、安全审计、高级持续性攻击(advanced persistent threat,APT)防范等,以应对云计算、物联网、移动互联等新技术的快速发展对大数据带来的安全挑战和更高的安全要求.同时也对大数据的安全保障技术的发展趋势进行了展望.

For big data has been pervasively applied in many industries as crucial information supports and confronted with lots of security risks in the procedure of collection, storage, transmission and application, this paper analyzes the security threats in big data’s life cycle,summarizes the security critical technologies and new developments according to big data system platforms and big data applications, including user access control, data isolation, data integration, privacy protection, security audit,precaution advanced persistent threat etc., to meet the new security challenges and requests proposed by the rapid developments of cloud computing,Internet of Things,mobile internet, etc. It also prospects the security tendency for big data.