Cybercrime Prevention on Social Media
Balkrishna Shah, Nitu Sharma, Saloni Bandgar, Sainath Patil · Zenodo (CERN European Organization for Nuclear Research) · 2021
Since in the early years of the 21st century, crimes tend to be committed away from the eyes of the majority of society. The advent of social media in the past decade has led to a new sort of 'performance' crimes, where people create accounts of their law-breaking through text, images, and video, which are then digitally distributed to the public on a large scale. This leads to increasing social crimes day by day. Crimes that are observed all over the globe are "posting nude photos", "sharing abandon posts ", "cyberbullying", sending bad or vulgar words in personal chats which is a part of cyberharassment". The primary objective of this project is to sight such cases over social media and execute some inhibitory course of action in order to avoid above stated incidents. Our social media could conclude the surprising, unpleasant, and unwanted content that could be abusive-disrespectful text or nude pictures, or unpermitted actions and facilitate users removing it or preventing it from unfolding everywhere. This may facilitate the general public to assure safety and nonviolence. It also includes an intrusion detection system which makes the platform more secure using anomaly-based detection by deep learning