Techniques for Predicting Dark Web Events Focused on the Delivery of Illicit Products and Ordered Crime

Abstract

The techniques for forecasting crime in detail before it occurs, or creating an "Automated Machine" to assist police officers, relieves the strain on cops while also aiding in crime prevention. We recommend incorporating machine learning (ML) with computer vision (CV) methodologies to accomplish and discuss the outcomes of a few situations in which such techniques were employed. The goal of this research is to present the dark web crime statistics and forecasting model for generating alerts of illicit activities like drug supply, human trafficking, terrorist radicalization and recruitment, and weapon delivery, online killing orders, and fraudulent activities that are associated with gangs or organizations showing online presence using ML and CV to assist law enforcement organizations to analyze, identify, and generate strategic techniques for solving cyber crime cases more accurately and quickly.