IPP-DMS:一个可扩展的保护隐私的数据管理系统,用于安全有效地处理大规模数据集
Pragya1, Sandeep Kumar Mathivanan1, Pavan Kumar M R2
1School of Computing Science and Engineering, Galgotias University, Greater Noida, 203201, India.
Scientific reports
|December 27, 2025
概括
综合隐私保护数据管理系统 (IPP-DMS) 为大型数据集提供了增强的数据安全性和效率. 它在可扩展性和处理速度方面优于传统系统,确保用户隐私.
科学领域:
- 数据安全与隐私数据安全与隐私
- 信息管理系统信息管理系统
- 应用计算机科学 应用计算机科学
背景情况:
- 数据的指数增长需要强大的解决方案,以确保安全和高效的数据管理.
- 确保数据完整性和用户隐私是利用大型数据集的组织面临的关键挑战.
研究的目的:
- 引入保护隐私的综合数据管理系统 (IPP-DMS).
- 在大规模数据处理中增强数据安全,计算效率和用户隐私.
主要方法:
- 使用灰级共发生矩阵 (GLCM) 和主要组件分析 (PCA) 进行特征提取.
- 实现了高级加密标准 (AES),差异隐私和基于角色的访问控制 (RBAC).
- 集成了一个人工智能驱动的异常检测模块,用于实时监控.
主要成果:
- 在异常检测方面取得了0.91的AUC得分.
- 证明了低身份验证 (0.85秒) 和访问延迟 (0.45秒).
- 每分钟处理多达2000个请求,与PACS,SEISS和DEIS相比,显示出更高的可扩展性和效率.
结论:
- IPP-DMS为保护隐私的数据管理提供了一个可扩展,安全和高效的解决方案.
- 该系统将先进的方法与标准安全措施相结合,设置了一个新的基准.
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