大数据时代的数据安全处理技术分析

Analysis of Data Security Processing Technologies in the Big Data Era

介绍大数据时代的数据安全挑战,包括数据量的激增、数据类型的多样化、实时数据处理的需求以及合规性要求等方面;分析各种数据安全处理技术,包括数据加密、数据脱敏与匿名化、访问控制与身份认证、数据备份与恢复以及入侵检测与防御系统等,展望数据安全处理技术的发展趋势。

This paper introduces the data security challenges in the era of big data,including the explosion of data volume,the diversity of data types,the need for real-time data processing,and the requirements for compliance.Various data security processing technologies are analyzed,including data encryption,data desensitization and anonymization,access control and identity authentication,data backup and recovery,intrusion detection and prevention systems,etc.,and the development trend of data security processing technologies is forecasted.