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

TL;DR

This paper introduces a security detection model and tool designed to identify and prevent flaming and hostile behavior in online social blogs and chatting platforms, aiming to improve online communication safety.

Contribution

It proposes a novel detection and censorship system specifically targeting flaming and hostile user behavior in social blogs and chat environments.

Findings

Effective detection of flaming messages

Successful censorship of swear words

Prevents hostile user interactions

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.