首页> 外文期刊>International journal of information security and privacy >An Efficient, Secure, and Queryable Encryption for NoSQL-Based Databases Hosted on Untrusted Cloud Environments
【24h】

An Efficient, Secure, and Queryable Encryption for NoSQL-Based Databases Hosted on Untrusted Cloud Environments

机译:在不受徒云环境上托管基于NoSQL的数据库的高效,安全和查询的加密

获取原文
获取原文并翻译 | 示例
           

摘要

NoSQL-based databases are attractive to store and manage big data mainly due to high scalability and data modeling flexibility. However, security in NoSQL-based databases is weak which raises concerns for users. Specifically, security of data at rest is a high concern for the users deployed their NoSQL-based solutions on the cloud because unauthorized access to the servers will expose the data easily. There have been some efforts to enable encryption for data at rest for NoSQL databases. However, existing solutions do not support secure query processing, and data communication over the Internet and performance of the proposed solutions are also not good. In this article, the authors address NoSQL data at rest security concern by introducing a system which is capable to dynamically encrypt/decrypt data, support secure query processing, and seamlessly integrate with any NoSQL- based database. The proposed solution is based on a combination of chaotic encryption and Order Preserving Encryption (OPE). The experimental evaluation showed excellent results when integrated the solution with MongoDB and compared with the state-of-the-art existing work.
机译:基于NoSQL的数据库具有吸引力,可以存储和管理大数据,主要是由于具有高可扩展性和数据建模灵活性。但是,基于NoSQL的数据库中的安全性弱,这会引发对用户的担忧。具体而言,REST的数据安全性是用户在云上部署了基于NoSQL的解决方案的高度关注,因为未经授权对服务器的访问将轻松暴露数据。已经努力为NoSQL数据库休息的数据进行加密。但是,现有解决方案不支持安全查询处理,并通过互联网的数据通信和所提出的解决方案的性能也不好。在本文中,作者通过引入能够动态加密/解密数据的系统来解决休息安全问题的NoSQL数据,支持安全查询处理,并与基于NoSQL的数据库无缝集成。所提出的解决方案基于混沌加密和保留加密(OPE)的顺序的组合。实验评估显示在与MongoDB的整合解决方案中并与最先进的现有工作进行比较时,结果表现出优异的结果。

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