SK-IR: Secured keyword based retrieval of sensor data in cloud

M. Sumalatha, K. Praveenraj, C. Selvakumar
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引用次数: 1

Abstract

The sensor data are collected in regular interval and securely stored in cloud. In order to provide security this research work aims in proposing SK-IR: secured keyword based retrieval. In security mechanism the symmetric key encryption scheme AES is being used to secure the sensor data. The data are retrieved from cloud based on its keywords, scores and file location which are available in the posting list. The hash function is implemented to the posting list to enhance the security. The posting lists are stored in unknown cloud server location and it protects the data from getting hacked. In this paper we studied the performance of encryption methodology over unstructured database by choosing Hbase/Hadoop platform. Since HBase can handle the huge volume, variety, and complexity of data used on the Hadoop platform.
SK-IR:云端传感器数据的安全关键字检索
传感器数据定期收集,并安全存储在云端。为了保证检索的安全性,本研究提出了基于关键字的安全检索(SK-IR)。在安全机制上,采用对称密钥加密方案AES对传感器数据进行安全保护。数据是基于它的关键字,分数和文件的位置,可在张贴列表从云检索。对发布列表实现哈希函数,增强安全性。张贴列表存储在未知的云服务器位置,它可以保护数据不被黑客攻击。本文选择Hbase/Hadoop平台,对非结构化数据库加密方法的性能进行了研究。因为HBase可以处理Hadoop平台上海量、多样和复杂的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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