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Research Article

Phishing Websites Detection Based on Web Source Code and URL in the Webpage


Author(s): Satish.S , Suresh Babu.K
Affiliation: Assistant Professor, Department of CSE, Arulmigu Meenakshi Amman College of Engineering, Tiruvannamalai, India.
Year of Publication: 2013
Source: International Journal of Computer Science and Engineering Communications
     
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Citation: Satish.S, Suresh Babu.K. "Phishing Websites Detection Based on Web Source Code and URL in the Webpage." International Journal of Computer Science and Engineering Communications 1.1 (2013): 1-5.

Abstract:
Major security issues for banking and financial institutions are Phishing. Phishing is a webpage attack, it pretends a customer web services using tactics and mimics from unauthorized persons or organization. It is an illegitimate act to steals user personal information such as bank details, social security numbers and credit card details, by showcasing itself as a truthful object, in the public network.


Keywords Phishing, Website attacks, Source Code, URL


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@article{Phi1311511, author = {Satish.S,Suresh Babu.K}, title = {Phishing Websites Detection Based on Web Source Code and URL in the Webpage}, journal={International Journal of Computer Science and Engineering Communications}, volume={1}, issue={1}, issn = {2347-8586}, year = {2013}, publisher = {Scholarly Citation Index Analytics-SCIA}

  • [1] Checking the Security of a Website Using Phishing Website Detector, The Department of Computing Sciences ,Texas A&M University-Corpus Christi Corpus Christi, TX.
  • [2] The Phishing Guide Understanding & Preventing Phishing Attacks,By: Gunter Ollmann, Director of Security
  • Strategy,IBM Internet Security Systems [3] Y. Zhang, J. Hong, and L. Cranor. “CANTINA: A Content-Based Approach to Detecting Phishing Web Sites”. In Proceedings of theInternational World Wide Web Conference (WWW), Banff, Alberta,Canada, May 2007.
  • [4] I. Fette, N. Sadeh, and A. Tomasic, “Learning to detect phishing emails,” Proceedings of the 16th international conference on World Wide Web, ser. WWW ’07. New York, NY, USA: ACM, 2007, pp. 649–656. [Online]. Available: http://doi.acm.org/10.1145/1242572.1242660.
  • [5] Justin Ma,Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker“Beyond Blacklists: Learning to Detecting Malicious websites from suspicious URL”Department of CSE,University of California,
  • [6] Anjali Sardana and A.Naga Venkata Sunil, IIT Roorkee ,Roorkee, India“A PageRank Based Detection Technique for Phishing Web Sites”,2012 symposium IEEE
  • [7] Mahmoud Khonji and Youssef Iraqi, Andrew Jones, Computer Engineering, Khalifa University,Sharjah, UAE.” “Lexical URL Analysis for Discriminating Phishing and Legit. imate E-Mail Messages”,6th international conference on Internet technology and secured transactions, UAE
  • [8] Mona Ghotaish Alkhozae and Omar Abdullah Batarfi,” “Phishing Websites Detection based on Phishing Characteristics in the Webpage Source Code” Volume 1 International Journal of Information and Communication Technology Research
  • [9] Xun Dong and John A. Clark, Jeremy L. Jacob “User Behaviour Based Phishing Websites Detection” Proceedings of the International Multiconference , Computer Science and Information Technology pp

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