Survey on Suspicious URL Detection Schemes in Twitter Stream
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 3
Abstract
Twitter is a micro-blogging and online social networking service that enables its users to send and read "tweets”. Tweets are text messages limited to 140 characters. Twitter is prone to a lot of malicious tweets which contains URLs for spam, phishing, and malware distribution. At present there are various Twitter spam detection schemes available. Conventional Twitter spam detection schemes make use of account features like the account activation date, the ratio of tweets that contain URLs and the relation features present in the Twitter graph. Conventional suspicious URL detection schemes make use of features like lexical features in URLs, dynamic behavior, URL redirection, and HTML content. At present evading techniques such as time-based evasion and crawler evasion also exist. This paper presents a survey of various Twitter spam detection schemes. The paper here discusses about various suspicious URL detection mechanisms and their efficiency. Also this paper presents an overview of the best detection mechanism for Suspicious URLs in Twitter stream.
Authors and Affiliations
Asha Prasad G, Suchithra M S
Keywords
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