A Run-time Detection System for Malicious URLs in Twitter

Abstract

Twitter is web based application which provide the service of sharing and mentioning the tweets and messages, which is social networking service. Twitter message could be a context information, or a URLs. Spam, scam, malicious distribution can be done easily with these URLs, spams and malicious data are usually a suspicious URLs with share another URLs in it. These URLs are known as URLs redirect chains, it is a repetition URLs. They itself contain too many URLs which is called as spam URLs. Generally there are several schemes to find such spam URLs, and they are evasion using time – based and evasion using crawling. This system is design to find- detect such spam or suspicious URLs- tweets from many other tweets, The URLS redirect chains frequently share the same URLs, and have been reused usually by attackers because they have limited resources. A Run-time Detection System for Malicious URLs in Twitter has method to show and detect the suspiciousness of the correlated URLs redirect chains, which are commonly shared URLs.
DOI: 10.17762/ijritcc2321-8169.150130