%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 }