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Development of Security Detection Model for the Security of Social Blogs and Chatting from Hostile Users


Affiliations
1 Jaypee Institute of Information Technology, Noida, India
2 CEAS, University of Cincinnati, Cincinnati, United States
 

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.
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  • Development of Security Detection Model for the Security of Social Blogs and Chatting from Hostile Users

Abstract Views: 357  |  PDF Views: 169

Authors

Shubhankar Gupta
Jaypee Institute of Information Technology, Noida, India
Nitin
CEAS, University of Cincinnati, Cincinnati, United States

Abstract


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.

References