254 / 2017-01-18 01:42:26
A Bibliometric Analysis of Recent Research on Machine Learning for Cyber Security
machine learning,cyber security,2144,graphical interpretation
全文录用
Pooja Makawana / Pooja Ravi Makawana
Rutvij Jhaveri / Rutvij H jhaveri
In today’s world a huge amount of information is shared around the globe using internet. While connected to cyber word, Cyber security is an increasing problem. Now a days, Various Machine learning techniques are used to deal with Cyber Security threats. To enlighten the researchers about recent trends in this research area, we have analysed 150 research papers from January 2015 to December 2016 and present a graphical and organized view of the referred research works. We observe that Machine Learning for Cyber security has a great potential in carrying out further research. We have carried out bibliometric analysis by categorizing the referred papers using the method of implementation, article type, publishers and article efficiency. This analysis will provide insights for researchers, students, publishers and experts to study current research trends in the area of Machine Learning for cyber security.
重要日期
  • 会议日期

    03月22日

    2017

    03月24日

    2017

  • 02月15日 2017

    初稿截稿日期

  • 02月20日 2017

    初稿录用通知日期

  • 02月22日 2017

    终稿截稿日期

  • 03月24日 2017

    注册截止日期

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