Warning Tweet: A Detection System for Suspicious URLs in Twitter Stream
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 7
Abstract
Twitter is a social networking site where users can exchange messages to other users particularly their followers. Usually the messages sent over twitter are known as tweets. Users can sent messages or tweets to users who do not follow the sender .Tweets are small messages. Thus malicious users can use twitter to send malicious tweets containing malicious URL’s for spam or phishing etc. Conventional there are twitter spam detection techniques which uses features like ratio of tweets or date of creation of account but these techniques are ineffective against feature fabrications and consume much time and resources. In this paper, WARNINGTWEET a technique for detecting suspicious URL detection for Twitter is proposed. This system find the correlations of URL redirect chains extracted from several tweets. It uses the fact that the malicious users or attackers have limited resources and thus they need to reuse them. URL redirect chains frequently share the same URLs for the attackers or malicious users. Methods to discover correlated URL redirect chains using the frequently shared URLs and to determine their suspiciousness is developed. On the basis of the results of evaluation we find that our classifier worked accurately and efficiently detects suspicious URLs.
Authors and Affiliations
Manjeet Chaudhary, Prof. H. A Hingoliwala
Keywords
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