An Approach To Secure Sensitive Attributes Stored On HDFS Using Blowfish
An Approach To Secure Sensitive Attributes Stored On HDFS Using Blowfish
复制标题
一种使用 Blowfish 保护存储在 HDFS 上的敏感属性的方法
DOI：
--
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
V. K. Srivastava
中科院分区：
文献类型：
--
作者：
Anju Kaushik;V. K. Srivastava
如今，在个人电脑中或网络上存储敏感数据时，安全性至关重要。Hadoop是一个分布式数据存储和分析框架。各类组织将敏感数据存储在HDFS（Hadoop分布式文件系统）中，并使用MapReduce对数据进行分析。因此，数据加密经常被用于防止重要信息泄露。我们的研究工作从存储在HDFS中的文件找出敏感属性，然后仅对敏感属性以及存储在HDFS中的整个文件应用对称加密方案BlowFish以进行比较。在性能评估方面，发现敏感属性的加密/解密比整个文件的加密/解密要好得多。为了验证其性能，使用了不同的文件大小并进行了一些实验研究。由于Hadoop缺乏定制加密，所提出的方法肯定会更好地提高性能。
These days security is important while storing our sensitive data in PC or over the web. Hadoop is a distributed data storage and analysis framework. Organizations store sensitive data on HDFS and analyse the data using MapReduce. As a result, data encryption is frequently employed to prevent the leakage of important information. Our research work find the sensitive attributes from the file stored in HDFS , then symmetric encryption scheme BlowFish is applied on sensitive attributes only and whole file stored in HDFS to find the comparison. The sensitive attributes encryption/decryption is found to be much better than the whole file encryption/decryption in terms of performance evaluation. To validate the capabilities, different file sizes are used and certain experimental studies are conducted. Since Hadoop lacks in customized encryption, proposed approach will definitely enhance the performance in better way.