A Review on Phishing URL Detection using Machine Learning Systems
نویسندگان
چکیده
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 e-mails. 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 a review on the strategies for distinguishing phishing sites by dissecting different components of phishing URLs by Machine learning systems.
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تاریخ انتشار 2015