Abstract

This article by Yogesh Awasthi (Email: dryogeshawasthi@lfu.edu.krd) has been retracted (i.e. withdrawn from the press) due to violating our Publication Ethics:
 
 plagiarism of text from the previously published article titled "Enhancing Approach Using Hybrid Pailler and RSA for Information Security in Bigdata" Shadan Mohammed Jihad ABDALWAHID, Raghad Zuhair YOUSIF, Shahab Wahhab KAREEM in the journal "Applied Computer Science" (2019. Т. 15, № 4. http://acs.pollub.pl/pdf/v15n4/6.pdf);
 publishing of the same article by Yogesh Awasthi and Ashish Sharma "Enhancing Approach for Information Security in Hadoop" in "Journal of Information Technology and Computer Engineering" (2020. Т. 4, № 1. https://doi.org/10.25077/jitce.4.01.5-9.2020 ).

Highlights

  • Cloud computing has attracted increasing attention since the last few years

  • The encryption of Hadoop distributed File system (HDFS) files is achieved by using DEA (Data Encryption Algorithm), whereas RSA has been used in the encryption of data key

  • Security leak was handled by implementing the Apache sentry for access control, triple encryption of data using RSA, Data Encryption Standard (DES), IDEA algorithms, was proposed in protecting file system based on fully homomorphic encryption

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Summary

INTRODUCTION

Cloud computing has attracted increasing attention since the last few years. Cloud computing provides users with a wide range of resources, such as computing platforms, storage, computing power, and internet applications. Different spread structures like HADOOP have recently been available (Li, Wang, Zhao, Pu, Zhu & Song, 2015; Ahamad, Akhtar, Hameed, 2019), like Google File System (Yang, Lin & Liu, 2013), which is developed to store and process Big Data. Three encryption scheme (Inukollu, Arsi & Ravuri, 2014) integrated with cloud data storage system depending on Hadoop to encrypt files in HDFS based on DES and RSA refer to IDEA for securing the RSA private key for the users.

SECURITY ISSUES
Authentication Level Issues
Data level issues
Network-level issues
General level issues
BIG DATA AND HADOOP
PROPOSED ALGORITHMS
EXPERIMENTAL RESULTS AND ANALYSIS
CONCLUSION
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