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An approach for big data security based on Hadoop distributed file system

机译:基于Hadoop分布式文件系统的大数据安全性方法

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Cloud computing appeared for huge data because of its ability to provide users with on-demand, reliable, flexible, and low-cost services. With the increasing use of cloud applications, data security protection has become an important issue for the cloud. In this work, the proposed approach was used to improve the performance of encryption /Decryption file by using AES and OTP algorithms integrated on Hadoop. Where files are encrypted within the HDFS and decrypted within the Map Task. Encryption /Decryption in previous works used AES algorithm, the size of the encrypted file increased by 50% from the original file size. The proposed approach improved this ratio as the size of the encrypted file increased by 20% from the original file size. Also, we have compared this approach with the previously implemented method, we implement this new approach to secure HDFS, and some experimental studies were conducted to verify its effectiveness.
机译:云计算之所以出现在海量数据中,是因为它能够为用户提供按需,可靠,灵活和低成本的服务。随着云应用程序的日益普及,数据安全保护已成为云计算的重要问题。在这项工作中,所提出的方法用于通过使用集成在Hadoop上的AES和OTP算法来提高加密/解密文件的性能。在HDFS中加密文件并在Map Task中解密文件的位置。在以前的工作中,加密/解密使用的是AES算法,加密文件的大小比原始文件的大小增加了50%。当加密文件的大小比原始文件大小增加20%时,建议的方法提高了此比率。此外,我们将这种方法与以前实现的方法进行了比较,我们采用了这种新方法来保护HDFS,并进行了一些实验研究以验证其有效性。

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