International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064




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Research Paper | Computer Science & Engineering | India | Volume 5 Issue 5, May 2016


A Novel Approach for Phishing URLs Detection

Purva Agrawal [2] | Dharmendra Mangal


Abstract: Seeking sensitive user data in the form of online banking user-id and passwords or credit card information, which may then be used by phishers for their own personal gain is the primary objective of the phishing. With the increase in the online trading activities, there has been a phenomenal increase in the phishing scams which have now started achieving monstrous proportions. This paper gives strategies for distinguishing phishing sites by dissecting different components of phishing URLs by Machine learning systems. It talks about the systems utilized for identification of phishing sites in view of lexical features. We consider different data mining approaches for assessment of the features to show signs of improvement comprehension of the structure of URLs that spread phishing. We use KNN, Regression and SVM classifiers.


Keywords: Lexical Analysis, Phishing URL, Machine Learning, KNN, Regression, SVM


Edition: Volume 5 Issue 5, May 2016,


Pages: 1117 - 1122


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How to Cite this Article?

Purva Agrawal, Dharmendra Mangal, "A Novel Approach for Phishing URLs Detection", International Journal of Science and Research (IJSR), Volume 5 Issue 5, May 2016, pp. 1117-1122, https://www.ijsr.net/get_abstract.php?paper_id=NOV163523



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