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Detection of Suspicious URL in Social Networking Site Twitter: Survey Paper
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 110 - Number 8 |
| Year of Publication: 2015 |
| Authors: Jyoti D.halwar, Sandeep Kadam, Vrushali Desale |
10.5120/19334-0688
|
Jyoti D.halwar, Sandeep Kadam, Vrushali Desale . Detection of Suspicious URL in Social Networking Site Twitter: Survey Paper. International Journal of Computer Applications. 110, 8 ( January 2015), 6-8. DOI=10.5120/19334-0688
Abstract
Twitter is very popular social networking site used by billions of people to share the information with each other. To communicate with each other over the long distance. But it also attracts the attackers in carrying out different attacks or get the information being shared by the twitter users. Twitter users can send the messages to each other in the form of tweets, that tweets have the size limitation of maximum 140 characters. So to share the web pages URL shorting is used. Attackers send the suspicious URLs in tweets and move the users to malicious pages. This paper presents a survey of different methods used to detect the suspicious URL (sites) in twitter stream. This paper also presents a WARNING BIRD APPLICATION. It is a near real time system to detect the suspicious URLs by classifying them.
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