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Nitin,
- Development of Security Detection Model for the Security of Social Blogs and Chatting from Hostile Users
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Authors
Shubhankar Gupta
1,
Nitin
2
Affiliations
1 Jaypee Institute of Information Technology, Noida, IN
2 CEAS, University of Cincinnati, Cincinnati, US
1 Jaypee Institute of Information Technology, Noida, IN
2 CEAS, University of Cincinnati, Cincinnati, US
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 9, No 5 (2017), Pagination: 39-49Abstract
Worldwide, a large number of people interact with each other by means of online chatting. There has been a significant rise in the number of platforms, both social and professional, such as WhatsApp, Facebook, and Twitter, which allow people to share their experiences, views and knowledge with others. Sadly enough, with online communication getting embedded into our daily communication, incivility and misbehaviour has taken on many nuances from professional misbehaviour to professional decay. Generally flaming starts with the exchange of rude messages and comments, which in turn triggers to higher scale of flaming. To prevent online communication from getting downgraded, it is essential to keep away the hostile users from communication platforms. This paper presents a Security Detection Model and a tool which checks and prevents online flaming. It detects the presence of flaming while chatting or posting blogs, and censors swear words as well as blocks the users from flaming.Keywords
Information Technology (IT), Flame Detector Tool, Censor Words, Flaming, Flame Intensity, Notification, Social Platform, Security Detection Model.Full Text
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