5G网络环境下云计算数据差分隐私保护算法的研究

Research on Differential Privacy Protection Algorithm of Cloud Computing Data in 5G Network Environment

随着5G技术的广泛部署,云计算平台的发展为处理大量动态数据提供了可能,也带来了前所未有的隐私保护挑战。差分隐私作为一种高效的隐私保护技术,通过添加噪声来防止个人数据在发布的数据集中被识别,在应用中保证了数据的安全性和隐私性,这不仅要求算法需具备高效的数据处理能力,还需在动态的网络环境中保持其保护效能。文中系统地分析了5G网络环境下云计算数据的差分隐私保护需求,并提出了相应的算法优化策略和实施方法,通过实验设计和系统测试验证了所提算法的实际应用效果,为未来5G环境中的云计算隐私保护提供了理论与实践的参考。

With the widespread deployment of 5G technology,the development of cloud computing platforms has made it possible to process large amounts of dynamic data,while also bringing unprecedented privacy protection challenges.Differential privacy,as an efficient privacy protection technology,prevents personal data from being recognized in the published dataset by adding noise,ensuring data security and privacy in applications.This not only requires algorithms to have efficient data processing capabilities,but also to maintain their protection effectiveness in dynamic network environments.This article systematically analyzes the differential privacy protection requirements of cloud computing data in 5G network environment,and proposes corresponding algorithm optimization strategies and implementation methods.The practical application effect of the proposed algorithm is verified through experimental design and system testing,providing theoretical and practical reference for cloud computing privacy protection in future 5G environments.