Review: Efficient Spam Detection on Social Network
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 6
Abstract
With the rapid growth of social networking sites for communicating, sharing, storing and managing significant information, it is attracting cybercriminals who misuse the Web to exploit vulnerabilities for their illicit benefits. The rapid growth of Twitter has triggered a dramatic increase in spam volume and sophistication. The abuse of certain Twitter components such as ‘‘hashtags’’, ‘‘mentions’’, and enables shortened URLs spammers to operate efficiently .In this paper we have reviewed the existing techniques for detecting spam users in Twitter social network. Features for the detection of spammers could be user based or content based or both and spam classifier methods.
Authors and Affiliations
Girisha Khurana, Mr Marish Kumar
Keywords
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