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BloomSec:适用于云环境的可扩展和保护隐私的可搜索加密.

Abdul Nasir Khan1, Ayesha Naveed1, Abid Mehmood2

  • 1COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.

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本研究介绍了BloomSec,这是一个新的方法,可以为大型数据集提供安全可搜索加密 (SSE). 与标记可搜索加密 (LSE) 相比,BloomSec显著提高了效率和可扩展性,在不影响安全的情况下提供了实用的可用性.

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科学领域:

  • 云计算安全 云计算安全
  • 密码学 密码学 密码学 密码学
  • 数据管理数据管理

背景情况:

  • 云服务提供灵活性,但引入诸如数据泄露等安全风险.
  • 现有的可搜索的加密方法与数据泄露或用户开销作斗争.
  • 标记可搜索加密 (LSE) 是安全的,但对于大型数据集来说效率低下.

研究的目的:

  • 提高大型数据集安全可搜索加密 (SSE) 的效率和安全性.
  • 解决LSE在管理大规模数据方面的局限性.
  • 为现代数据驱动应用开发一个实用的SSE解决方案.

主要方法:

  • 研究和开发了SSE的新方法.
  • 提出并评估了一个名为BloomSec.的新计划.
  • 我们比较了BloomSec与标记可搜索加密 (LSE) 的性能.

主要成果:

  • 比起伦敦交易所,BloomSec的效率和可扩展性明显更高.
  • 拟议的BloomSec方案消耗更少的用户端开销.
  • 实验发现证实了BloomSec对于大数据集的实际实用性.

结论:

  • BloomSec提供了一种安全有效的解决方案,用于在大型数据集上进行可搜索加密.
  • 开发的方法克服了LSE.等现有方法的局限性.
  • BloomSec为安全的云数据管理提供了一种实用且可扩展的方法.