基于身份的受控委托外包数据完整性审计计划
Jianming Du1,2, Guofang Dong3,4, Juangui Ning1,2
1School of Electrical and Information Technology, Yunnan Minzu University, Kunming, 650504, China.
Scientific reports
|March 30, 2024
概括
本研究引入了一个新的云数据审计方案,以提高数据完整性和可用性. 它使用基于身份的加密模型实现了受控的外包和高效的动态数据更新.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 云计算 云计算 云计算
背景情况:
- 云存储的采用正在增加,需要强大的数据完整性和可用性审计.
- 现有的云数据审计方案经常与外包数据完整性,受控外包和源文件审计扎.
- 安全的分布式计算系统需要有效的身份验证和授权,而无需复杂的证书管理.
研究的目的:
- 提出一个新的受控委托外包数据完整性审计计划.
- 解决现有计划在外包数据完整性和受控数据管理方面的局限性.
- 提高云数据审计流程的效率和安全性.
主要方法:
- 开发一个可控委托外包数据完整性审计方案,使用基于身份的加密模型.
- 实现基于桶的红黑树结构,以实现高效的动态数据更新和结构再平衡.
- 在困难问题假设下,安全模型的正式定义和安全证明.
主要成果:
- 拟议的方案有效地使用户能够使用基于身份的身份验证将数据上传任务委托给授权代理.
- 基于桶的红黑树结构确保了动态数据更新和结构再平衡的高效处理.
- 实验分析表明,与现有方法相比,该方案的效率和安全性.
结论:
- 拟议的基于身份的加密方案为云环境中受控委托外包数据完整性审计提供了安全有效的解决方案.
- 该方案克服了先前方法的局限性,通过提供强大的外包数据完整性和简化代理管理.
- 动态数据更新机制确保了云存储系统中数据操作的高效率.
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