DIGITAL FORENSIC ANALYTICS IN SOCIAL MEDIA ENVIRONMENT USING DNN APPROACH

Cyberbullying has increased due to the digital growth of Social Networking Applications “S.N.Apps”. As a
result, criminal activities in cyberspace became a cause of concern, particularly towards the start of 2022.
Thus, a digital forensic analyst's task of acquiring digital evidence can be challenging. The purpose of this
paper is to design an intelligent digital system for analysis by using an Artificial Neural Network “ANN” as
a deep learning approach. Additionally, this study is to provide insight into the practical processes required
criminal legislation enacted against cybercrimes. In ANN training process, we obtained detection accuracy
rates of 99.63% for Twitter, Facebook, and Instagram applications and tested the proposed system with a
94.02% accuracy. And one of the Kali Linux commands was used to speed up access during the Phase I of
digital forensic “Gathering Information” regarding the suspect. With the investigation Crowdsourcing
system , it allows for better judgment of cyberbullying crime behaviors.