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  • 标题:A Survey of the Security Use Cases in Big Data
  • 本地全文:下载
  • 作者:Kudakwashe Zvarevashe ; Mainford Mutandavari ; Trust Gotora
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:5
  • 出版社:S&S Publications
  • 摘要:Big data is the collection of large and complex data sets that are difficult to process using on-handdatabase management tools or traditional data processing applications. The invention of online social networks, smartphones, fine tuning of ubiquitous computing and many other technological advancements have led to the generation ofmultiple petabytes of both structured, unstructured and semi-structured data. These massive data sets have lead to thebirth of some distributed data processing and storage technologies like Apache Hadoop and MongoDB. To tackle thesecurity issues in Hadoop, the Kerberos protocol has been introduced in its second edition. However, this technologicalmovement has created some security loopholes in the processing and storage of the data sets. This paper tries to listsome of the directions research on Big Data challenges has taken for the past five years together with theircorresponding Use cases.
  • 关键词:big data; apache Hadoop; MongoDB; Kerberos; NoSQL and social networks.
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