Cyber forensics deals with collecting, extracting, analysing, and finally reporting the evidence of a crime. Typically investigating a crime takes time. Involving deep learning methods in cyber forensics can speed up the investigation procedure. Deep learning incorporates areas like image classification, morphing, and behaviour analysis. Forensics happens where data is. People share their activities, pictures, videos, and locations visited on the readily available platform, social media. An abundance of information available on social networking platforms renders them a favourite of cybercriminals. Compromising a profile, a hacker can gain access, modify, and use its data for various activities. Unscrupulous activities on such platforms include stalking, bullying, defamation, circulation of illegal or pornographic material, etc. Social network forensics is more than the application of computer investigation and analysis techniques, such as collecting information from online sources. CNNs and autoencoders can learn and obtain features from an image.
Data Visualization for Social Network Forensics