一个基于属性的优化动态可搜索加密方案
Shahzad Khan1,2, Shawal Khan3, Abdul Waheed4,5
1Department of Information Security, Military College of Signals (MCS), NUST, Islamabad, Pakistan.
PloS one
|October 29, 2024
概括
本研究介绍了云计算的基于属性的关键词搜索 (ABKS) 方案. 它提高了数据隐私和可搜索性,而不需要昂贵的计算,提高了效率,并使政策更新成为可能.
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:
- 云计算提供了可扩展的资源,但由于第三方数据处理,它引发了隐私和安全问题.
- 传统的加密方法限制了云中的数据实用性.
- 基于属性的加密 (ABE) 和可搜索的加密 (SE) 结合为基于属性的关键字搜索 (ABKS) 提供了一个解决方案,但往往涉及计算上昂贵的操作.
研究的目的:
- 为云环境提出一个高效和安全的基于属性的关键词搜索 (ABKS) 方案.
- 解决现有的ABKS计划的局限性,特别是它们依赖昂贵的配对操作和秘密重建机制.
- 实现访问控制策略的动态更新,而无需重新加密数据.
主要方法:
- 开发了一个新的ABKS方案,在搜索过程中避免了昂贵的双线配对操作.
- 消除了对秘密重建的昂贵拉格朗日插值的需求.
- 设计该计划以支持对加密文本的访问控制政策更新.
主要成果:
- 拟议方案通过避免计算密集的配对操作来证明提高了效率.
- 安全性是在选择性集模型中根据决定双线差异-Hellmen (DBDH) 假设证明的.
- 实验评估证实了该计划的沟通和整体效率,以及其更新访问政策的能力.
结论:
- 拟议的ABKS方案为云环境中的安全数据搜索提供了实用和高效的解决方案.
- 它有效地平衡了安全要求和计算效率,使云数据更易于使用.
- 在不需要重新加密的情况下更新访问策略的能力为动态云数据管理提供了显著的优势.
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