IDEAS home Printed from https://ideas.repec.org/a/igg/jisp00/v16y2022i1p1-14.html
   My bibliography  Save this article

Prediction of Phishing Websites Using AI Techniques

Author

Listed:
  • Gururaj H. L.

    (Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India)

  • Prithwijit Mitra

    (University of Engineering and Management, Jaipur, India)

  • Soumyadip Koner

    (University of Engineering and Management, Jaipur, India)

  • Sauvik Bal

    (Haldia Institute of Technology, India)

  • Francesco Flammini

    (University of Applied Sciences and Arts of Southern Switzerland, Switzerland)

  • Janhavi V.

    (Vidyavardhaka College of Engineering, India)

  • Ravi Kumar V.

    (Vidyavardhaka College of Engineering, India)

Abstract

The increase of internet usage in recent times has been a noticeable change in this generation. Users from all over the world use social sites to interact across the world. Countless websites are present today. With countless networks and sites, some people or companies tend to create new ways to lure out the random users using the web, such as phishing. In phishing, the normal users are swindled to use the fraudulent websites. The aim is to identify the phishing websites with great accuracy and compare different methods by which phishing websites can be tracked in an easier and more accurate way. Comparative studies of various algorithms are tested with the help of 10,000 datasets, each tested with 18 different parameters to increase the accuracy score of each algorithm. The paper shows the methods used for phishing detection are more accurate than other practices done so far using certain appropriate parameters and more useful.

Suggested Citation

  • Gururaj H. L. & Prithwijit Mitra & Soumyadip Koner & Sauvik Bal & Francesco Flammini & Janhavi V. & Ravi Kumar V., 2022. "Prediction of Phishing Websites Using AI Techniques," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 16(1), pages 1-14, January.
    • Handle: RePEc:igg:jisp00:v:16:y:2022:i:1:p:1-14
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISP.310069
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jisp00:v:16:y:2022:i:1:p:1-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.