Cybercrime Analysis and Online Fraud Prevention Using Advanced Machine Learning Models

Abstract

With the rise of e-commerce on a global scale, numerous companies have been able to provide goods and services through cutting-edge, time-saving, and budget-friendly business strategies. A sizable portion of the global economy is supported by the ever-expanding digital economy. Due to the simplicity of committing these crimes, the attractive returns, and the slowness of prevention measures, cyber-crimes have also increased at an even quicker rate than this relatively rapid expansion. The necessity to efficiently manage the expansion of cybercrime is critical, since it poses an existential danger to online trade. Businesses should implement creative preventive measures because laws and police resources aren't keeping up with the dynamic nature of crimes. How big and small businesses alike are implementing cyber-crime prevention techniques is the main topic of this special issue.