A Distributed System for Detecting Phishing and Mail Alert based Malicious Tweet URLs Blocker in a Twitter Stream

Twitter is a hugely well-liked famous social network where people exchanges messages of 140 characters called tweets. Because of short content size, and use of URL, it is difficult to detect phishing on Twitter unlike emails. Ease of information exchange large audience makes Twitter as a popular medium to spread external content like articles, videos, and photographs by embedding URLs in tweets. In our existing system Warning Bird which does not focus on detecting phishing but on suspicious URLs in general. It uses correlated redirect chains of URLs on Twitter to detect phishing URLs. However, it may fail if the spammers use short redirect chain or multiple page-level redirects. This paper describes a newly developed Distributed methodology that correlates the format of tweets with sending agents to detect phishing tweets automatically in real time by using Link Guard algorithm .We use machine learning classification techniques and detect phishing tweets with a higher accuracy than of existing systems . Also in this paper I proposed to block the malicious URLs and provide mail alert for malicious URLs occur in the twitter stream Using dynamic trained classifier.