A survey of intrusion detection techniques

  • Authors

    • Sharanya Chandran
    • K Senthil Kumar
    2018-03-10
    https://doi.org/10.14419/ijet.v7i2.4.13036
  • UDDI, Web Service, Clustering, Machine Learning, K-Nearest Neighbor.

  • Abstract

    In today’s world, the number of companies is increasing day by day that help end users to express opinion i.e. social media management, to watch news, payment applications, retail, ecommerce etc. There are large amount of forms, which take personal information’s like username, password, social security number, credit card, debit card and account information. Thus the applications are vulnerable to security issues like phishing attacks, denial of service attacks, cross-site scripting attack and many more. This paper provides literature review of work done in these areas and their respective mitigations.

     

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  • How to Cite

    Chandran, S., & Senthil Kumar, K. (2018). A survey of intrusion detection techniques. International Journal of Engineering & Technology, 7(2.4), 187-189. https://doi.org/10.14419/ijet.v7i2.4.13036

    Received date: 2018-05-18

    Accepted date: 2018-05-18

    Published date: 2018-03-10