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
%0 Journal Article
%1 D__2015
%A Nannaware, Harshad D.
%A Dhangar, Tushar P.
%A Dhanrao, Aniket S.
%A Badgujar, Prof. V. D.
%D 2015
%I Auricle Technologies, Pvt., Ltd.
%J International Journal on Recent and Innovation Trends in Computing and Communication
%K Twitter URL classification redirection spam suspicious
%N 1
%P 144--147
%R 10.17762/ijritcc2321-8169.150130
%T A Run-time Detection System for Malicious URLs in Twitter
%U http://dx.doi.org/10.17762/ijritcc2321-8169.150130
%V 3
%X 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
@article{D__2015,
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},
added-at = {2015-08-03T08:19:55.000+0200},
author = {Nannaware, Harshad D. and Dhangar, Tushar P. and Dhanrao, Aniket S. and Badgujar, Prof. V. D.},
biburl = {https://www.bibsonomy.org/bibtex/21b11157b5afd67ffcae8392e240fb06c/ijritcc},
doi = {10.17762/ijritcc2321-8169.150130},
interhash = {8d99551e24af5475808686c745047d3c},
intrahash = {1b11157b5afd67ffcae8392e240fb06c},
journal = {International Journal on Recent and Innovation Trends in Computing and Communication},
keywords = {Twitter URL classification redirection spam suspicious},
month = {january},
number = 1,
pages = {144--147},
publisher = {Auricle Technologies, Pvt., Ltd.},
timestamp = {2015-08-03T08:19:55.000+0200},
title = {A Run-time Detection System for Malicious {URLs} in Twitter},
url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150130},
volume = 3,
year = 2015
}