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Survey Paper | Information Technology | India | Volume 4 Issue 4, April 2015

Survey Paper on Phishing Detection: Identification of Malicious URL Using Bayesian Classification on Social Network Sites

Vaibhav V. Satane | Arindam Dasgupta ^[2]

Abstract: Nowadays people uses online social networking sites for communications with others. People post their message on social network sites. The messages are of various types such as text, images, audio and video. Sometime for these messages the people post their URL and request their friend to visit that site to show the messages. The fraud user uses malicious URL and post on social networking sites. These malicious URL contains viruses which harms user system. Malware is a one of the attack in which fraud URL creates replica of their own when user clicks on these URL and acquire resource. Sometime malicious URL directed towards a website which is a fraud website. These fraud websites are used to steal user-s confidential information. By using Bayesian classification identify the fraud URL on social networking sites and improve the security of social networking sites.

Keywords: Bayesian Classification, Suspicious URL, Social Networking Sites SNS, Phishing Websites, Social spam guard, CANTINA

Edition: Volume 4 Issue 4, April 2015,

Pages: 1998 - 2001

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