@article{MAKHILLAJIT20171666674,
    title = {Comparative Study on Hadoop Distributed File System Based on Security Issues},
    journal = {Asian Journal of Information Technology},
    volume = {16},
    number = {6},
    pages = {561-568},
    year = {2017},
    issn = {1682-3915},
    doi = {ajit.2017.561.568},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2017.561.568},
    author = {Hadeer,Abdelfatah and},
    keywords = {Security,BigData,Hadoop,HDFS,MapReduce,cloud},
    abstract = {Cloud computing attracts a considerable attention in both academic and business areas in the
meantime. In most markets, many cloud computing and BigData frameworks used a large scale of data
processing. Hadoop is one of the best choices in open-source cloud computing and BigData framework used
more and more in the business world. Recently, the weaknesses of security methods emerged as one of the main
challenges interfering with development in general. Hadoop’s writing and reading HDFS blocks also lack the
support of security so, we need a solution to secure the Hadoop distributed file system. This study discusses
the current security methods of Hadoop and provides a comparative view of BigData security mechanisms, its
security property and performance; thinking carefully about some methods to improve its trustworthiness and
security.}
    }