通过在雾计算中的计算智能三层方案,增强云存储中的隐私保护的一种方法
Sneha Ojha1, Priyanka Paygude1, Amol Dhumane2
1Bharati Vidyapeeth (Deemed to be University), College of Engineering, Pune, India.
MethodsX
|December 6, 2024
概括
使用雾计算和哈希-所罗门代码算法的新三层存储模型提高了数据隐私和云中的存储效率. 这种方法将数据分布在本地,雾和云服务器上,以提高安全性和性能.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 分布式系统 分布式系统
背景情况:
- 由于传统加密漏洞,云计算的进步引发了数据控制和隐私方面的担忧.
- 来自云服务器的内部威胁对敏感数据构成风险.
- 现有的解决方案往往难以平衡云的好处与强大的数据隐私.
研究的目的:
- 提出一种新的三层存储模型,集成雾计算,以增强云环境中的数据隐私和控制.
- 解决针对内部云攻击的传统加密方法的局限性.
- 优化数据分布,以提高安全性和存储效率.
主要方法:
- 实现一个三层存储架构,包括本地机器,雾服务器和云存储.
- 利用哈希-所罗门代码算法进行数据分区和分布.
- 运用计算智能来确定跨层次的最佳数据配置.
主要成果:
- 实验分析证实,随着数据块数量的增加,存储效率的显著提高,从30%到40%不等.
- 拟议的模型通过在多个位置分布数据段,有效地增强数据隐私.
- 在云,雾和本地服务器上优化的数据分布确保了平衡和安全的存储.
结论:
- 这种新的框架有效地缓解了与云计算相关的隐私问题.
- 哈希-所罗门代码方法与雾计算相结合,为安全和高效的数据管理提供了强大的解决方案.
- 这种方法成功地平衡了云存储的优势与增强的数据控制和隐私.
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