精品文档---下载后可任意编辑云环境下基于同态加密的频繁模式挖掘开题报告摘要：频繁模式挖掘作为一种重要的数据挖掘技术，被广泛应用于数据分析和决策支持领域。然而，由于数据隐私和安全问题，许多组织不同意共享其数据，限制了频繁模式挖掘的应用。同态加密是一种可以实现在不暴露数据的情况下进行计算的加密技术。本文讨论了云环境下基于同态加密的频繁模式挖掘技术。首先，分析了现有的频繁模式挖掘算法及其不足，然后介绍了同态加密的原理及其应用，提出了一种基于同态加密的频繁模式挖掘算法。最后，通过实验验证了该算法的有效性和可行性。关键词：频繁模式挖掘，同态加密，云计算，隐私保护Abstract：Frequent pattern mining, as an important data mining technique, has been widely used in data analysis and decision support fields. However, due to data privacy and security issues, many organizations are unwilling to share their data, which limits the application of frequent pattern mining. Homomorphic encryption is an encryption technology that can perform calculations without exposing data. In this paper, we studied the homomorphic encryption-based frequent pattern mining technique in the cloud environment. Firstly, the existing frequent pattern mining algorithms and their deficiencies are analyzed. Then, the principle and application of homomorphic encryption are introduced, and a homomorphic encryption-based frequent pattern mining algorithm is proposed. Finally, the effectiveness and feasibility of the algorithm are verified through experiments.Keywords: frequent pattern mining, homomorphic encryption, cloud computing, privacy protection
