Literature Survey on Detection of Web Attacks Using Machine Learning

Authors

  • Abhishek Gupta  Student, CSE, Bharati Vidyapeeth's College of Engineering, New Delhi, India
  • Ankit Jain  Student, CSE, Bharati Vidyapeeth's College of Engineering, New Delhi, India
  • Samartha Yadav  Student, CSE, Bharati Vidyapeeth's College of Engineering, New Delhi, India
  • Harsh Taneja  Assistant Professor, Bharati Vidyapeeth's College of Engineering, New Delhi, India

Keywords:

Machine Learning, Web Attacks, Classification, Support Vector Machines, Clustering

Abstract

With the increase in reliability on web applications for day to day activities There has been an immense growth in number of web applications that are being created and used world-wide. But this elevation of web applications has led to the increase in the exploitation of vulnerabilities in web apps that has further lead to web attacks. The industry has suffered due to these rising web attacks. Yet the evolution of information technology and the advent of machine learning has eased web attacks’ detection. The detection of these web attacks relies upon the patterns obtained via Machine Learning algorithms which further aids in deciding whether the web attack has been caused or not. This paper comprises techniques that are Classification, Support Vector Machine and Clustering with respect to web attacks and their detection.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

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How to Cite

[1]
Abhishek Gupta, Ankit Jain, Samartha Yadav, Harsh Taneja, " Literature Survey on Detection of Web Attacks Using Machine Learning , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1845-1853, March-April-2018.