基于对称加密算法的隐私数据处理研究

Haotong Guo
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引用次数: 0

摘要

如今,众多用户和组织通过云存储服务广泛存储和共享隐私数据。然而,现有的云服务只注重提高数据存储量,而忽视了对数据所有者隐私数据的保护。为了保护隐私数据,数据所有者可以对信息进行加密,然后上传到云服务器。云服务器无法保证加密数据不被恶意攻击者攻击或修改。在本文中,我们提出了一种新型对称加密算法,为用户加密隐私数据,并为云服务器生成校验,保证隐私数据不会因系统错误而被修改和丢失。通过大量的实验,我们可以得出结论:我们提出的模型可以通过模拟不同的攻击,在合理的响应时间内实现对隐私的保护。此外,我们还将我们的模型与现有的加密方法进行了比较,并评估了其有效性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on privacy data processing based on symmetric encryption algorithm
Nowadays, privacy data has widely stored and shared through the cloud storage services from numerous users and organizations. However, existing cloud services are concentrating on improving the data storage amount and ignore the privacy data protection for data owners. In order to protect the privacy data, data owners may encrypt the information and then upload to the cloud servers. Cloud server cannot guarantee the encryption data are not at-tacked or modified by malicious attackers. In this paper, we propose a novel symmetric encryption algorithm to encrypt the privacy data for users and generate the checks for cloud servers and guarantee the privacy cannot be modified and lost by system errors. From our extensive experimental, we can conclude that our proposed model can achieve the protection of privacy by simulating the different attacks with reasonable response period. Furthermore, we compare our model with existing encryption methods and evaluate the effectiveness performance.
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