A Survey on Phishing Detection based on Visual Similarity of web pages

Authors

  • Ms Niyati Raj  PG Student, IT Department, L.D. college of Engineering, Ahmedabad, Gujarat, India
  • Prof. Jahnavi Vithalpura  Assistant Professor, IT Department, L.D. College of Engineering, Ahmedabad, Gujarat, India

Keywords:

Phishing detection, Visual similarity, Privacy protection

Abstract

Phishing attack uses scam web pages which pretending to be an important website and takes user’s personal information such as credit card number, passwords and other sensitive details. Anti Phishing is very important for online transactions and user privacy protection. In this paper, I have done survey on different methods of phishing detection based on visual similarity and also compared them to see better accuracy and correctness with law performance head.

References

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  2. Jian Mao, Pei Li , Kun Li, Tao Wei, and Zhenkai Liang ―”BaitAlarm: Detecting Phishing Sites Using Similarity in Fundamental Visual Features” in fifth conference on Intelligent Networking and Collaborative Sysytems, 2013.
  3. Kang Leng Chiew, Ee Hung Chang, San Nah Sze,Wei King Tiong “Utilisation of website logo for phishing detection”  in Elsevier 2015.
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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-01-20

Issue

Volume 4, Issue 2, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ms Niyati Raj, Prof. Jahnavi Vithalpura, " A Survey on Phishing Detection based on Visual Similarity of web pages, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.81-86, January-February-2018.