大数据环境下的隐私保护与信息安全策略

Privacy Protection and Information Security Strategies in the Big Data Environment

本文首先介绍了大数据环境下的隐私保护技术,强调了数据匿名化与脱敏、差分隐私、加密技术与安全协议以及隐私保护算法与模型的作用与应用。然后论述了大数据环境下的信息安全威胁,从组织层面和技术层面提出了安全保障措施,探讨了如何在数据的全生命周期中嵌入隐私保护措施,以确保在追求数据价值最大化的同时,有效维护用户隐私安全和数据合规性。

This article first introduces privacy protection technologies in the big data environment,emphasizing the role and application of data anonymization and desensitization,differential privacy,encryption technology and security protocols,as well as privacy protection algorithms and models.Then it discusses the information security threats in the big data environment,proposes security measures from both organizational and technical levels,and explores how to embed privacy protection measures throughout the entire life cycle of data to ensure that while pursuing maximizing data value,users’privacy security and data compliance are effectively maintained.