...
首页> 外文期刊>Procedia Computer Science >Variant of COBWEB Clustering for Privacy Preservation in Cloud DB Querying
【24h】

Variant of COBWEB Clustering for Privacy Preservation in Cloud DB Querying

机译:用于云数据库查询中隐私保护的COBWEB集群变体

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Cloud computing security is the set of control-based technologies and policies designed to protect information, data and infrastructure mapped with cloud computing applications. As Cloud computing includes shared resource, identity management, privacy and access control over network, it is necessary to provide privacy in these and other potentially vulnerable areas. This paper concentrate on achieving Privacy Preservation in Cloud DB using Incremental conceptual Clustering algorithm: Variant of COBWEB in replacement of incremental k-means. Variant of COBWEB is employed at Cloud Database Owner to secure Clients data at backend. Sample CRM dataset from UCI repository is analyzed in WEKA for comparative study of both algorithms.
机译:云计算安全性是一组基于控制的技术和策略,旨在保护与云计算应用程序映射的信息,数据和基础架构。由于云计算包括共享资源,身份管理,隐私和网络访问控制,因此有必要在这些和其他潜在易受攻击的区域中提供隐私。本文致力于使用增量概念聚类算法在Cloud DB中实现隐私保护:COBWEB的变体代替增量k均值。云数据库所有者使用COBWEB的变体来保护后端的客户端数据。 UCI存储库中的示例CRM数据集在WEKA中进行了分析,以比较两种算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号