Detailed Investigation: Stratification of Phishing Websites Assisted by User Ranking Mechanism

14 Pages Posted: 19 Mar 2018

See all articles by Y. Suresh

Y. Suresh

Sona College of Technology

E Aarthi

Sona College of Technology, Students

Aparna.M. Godekar

Sona College of Technology, Students

R Geetha

Sona College of Technology, Students

Date Written: November 15, 2017

Abstract

Phishing is defined as developing a fake website similar as original to obtain users private information such as username, passwords and social security numbers. Now a days more number of research has been developed to identify fake websites but it has been done by original website owners based on user’s reviews. However still hacking users’ personal information’s is in active. Hence in this research we have proposed a new approach to identify fake websites from a huge number of websites that are available now is done by analyzing user’s reviews as primary factor and url identification. In url identification set of parameters and characteristics has been verified to identify whether uploaded new website has met our required needs if not then it considered to be phishing website. Second step is by keeping particular threshold value fake websites has been identified efficiently based on user’s reviews. The threshold value is designed as if same website obtained more number of bad reviews then it consider to be spam website. By implementing this two-step verification more number of phishing websites has been identified efficiently compared to existing approaches.

Keywords: Phishing, Deceptive, malware

Suggested Citation

Suresh, Y. and Aarthi, E and Godekar, Aparna.M. and Geetha, R, Detailed Investigation: Stratification of Phishing Websites Assisted by User Ranking Mechanism (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India, Available at SSRN: https://ssrn.com/abstract=3141056 or http://dx.doi.org/10.2139/ssrn.3141056

Y. Suresh (Contact Author)

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

E Aarthi

Sona College of Technology, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

Aparna.M. Godekar

Sona College of Technology, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

R Geetha

Sona College of Technology, Students ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

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