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Phishing Alarm

Gauri Choudhari, Martina D’souza, Shweta Salekar, Sneha Gedia

Abstract


Phishing is a type of social engineering attack where the attacker tries to imitate the original website to steal the user's sensitive data like login credentials, credit card numbers SSN numbers, etc. The attacker lures the victim to enter his personal data by masquerading as original website. The information is then used to access important accounts and can result in identity theft and financial loss. No specific solution is implemented till date to counter the phishing attacks effectively. In this paper we exploit the visual similarity features like CSS of html document and the discrepancy between the claimed domain of the suspicious web page and the benign web page to detect a phishing attack.


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References


Mahmoud Khonji, Youssef Iraqi and Andrew Jones, “Phishing Detection: A Literature Survey,” Ieee Communications Surveys & Tutorials, Vol. 15, No. 4, Fourth Quarter 2013

“definition of phishing” https://resources.infosecinstitute.com/category/enterprise/phishing/phishing-definition-and-history/#gref

Joby James, Sandhya L., Ciza Thomas, “Detection of Phishing URLs Using Machine Learning Techniques” 2013 International Conference on Control Communication and Computing (ICCC)

Jian Mao1, Wenqian Tian1 , Pei Li1 , Tao Wei2 And Zhenkai Liang3, “Phishing-Alarm: Robust and Efficient Phishing Detection via Page Component Similarity,” August 11, 2017, date of publication August 23, 2017.

Choon Lin Tan , Kang Leng Chiew , San Nah Sze R. Nicole, “Phishing Website Detection Using URL-Assisted Brand Name Weighting System,” 2014 IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) December 1-4, 2014.

“history of phishing” http://www.phishing.org/history-of-phishing


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