在多云环境中,采矿使用交易量分配器和简单的哈希算法来保护隐私的关联规则
D Dhinakaran1, S Gopalakrishnan2, D Selvaraj3
1Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India.
MethodsX
|May 7, 2025
概括
本研究介绍了一个多云隐私框架,使用简单的哈希算法 (FHA) 和交易计算器和分配器来安全地频繁地进行项目集采矿. ATid算法提高了可扩展性,并减少了计算时间和通信成本.
科学领域:
- 计算机科学 计算机科学
- 数据安全 数据安全
- 云计算 云计算 云计算 云计算
背景情况:
- 数据驱动的决策需要安全地从分布式数据集中提取知识.
- 当外包数据用于诸如频繁项目和挖矿等任务时,隐私问题就会出现.
- 平衡数据敏感性与洞察力交付是一个关键的挑战.
研究的目的:
- 提出一个新的多云隐私框架,用于安全的频繁项目和采矿.
- 为了提高保护隐私的数据挖掘的效率和可扩展性.
- 在分布式云平台的数据传输和计算过程中解决隐私问题.
主要方法:
- 一个多云隐私框架,结合了交易计算器和分配器模块以及简单的哈希算法 (FHA).
- 引入阿普里奥里与潮减少 (ATid) 算法,以提高可扩展性和计算效率.
- 使用多个数据集进行性能评估,与现有方法进行比较.
主要成果:
- 与现有方法相比,拟议的框架显示出更高的性能.
- 加密和解密过程可将计算时间缩短高达25%.
- 通信成本降低了大约15%,提高了可扩展性和减少了通信开销.
结论:
- 多云隐私框架有效地保护数据在传输和计算过程中.
- 该ATid算法显著提高了可扩展性和运营效率在频繁的项目集采矿.
- 拟议的方法为分布式数据挖掘提供了一个安全,高效和可扩展的解决方案.
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