Assorted Aspects and Implementation Patterns of Artificial Intelligence to Reduce Cyber Crimes

Abstract

Cyber crime was a major problem even before the epidemic, and it skyrocketed as the globe became increasingly digital after the pandemic began. It is crucial to think about how to make the web safer in the post-pandemic period, since the number of cyber scams is rising rapidly. With more people doing remote work and more people quickly embracing new technology, as well as with decreased monitoring and controls, hackers have more opportunities to attack weaknesses in the system. Individuals and businesses were rendered more vulnerable to cyber fraud as a result of each of these developments brought on by the epidemic. Since cybercriminals are just as technically savvy as their cyber security counterparts, a lot of effort and money must be spent on prevention. Professionals in the field of cyber security and cybercriminals nowadays share many of the same skills and use many of the same tools. Both cyber security experts and cybercriminals rely on them, but the former to protect their systems from the latter.

Keywords

• Adoption of A.I. in Reducing Cyber Crimes, Cyber Crime, Avoidance of Cyber Crimes using A.I. Approaches