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.
PloS one
|December 9, 2025
概括
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.
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.
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