Survey on Cyber Crime Problems and Prevention

Attackers’ main objective is to commit the most modern and evolving forms of crime. As new researchers concentrate their studies primarily on cyber security, the field of online crime prevention systems has been evolving. The topic of cybercrime is one that is getting more and more attention every day. It is challenging to take on. Online crime prevention solutions based on digital forensics provide the public with a mechanism to lodge complaints and get services more quickly and simply while storing criminal information in a single database. The customer or person can submit the FIR online by entering information about the case type, incident specifics, and other crucial factors. Even with older records, all complaint information can be viewed and added. Anomaly detection systems, honeypots, tripwires, configuration checking tools, and working system instructions are some of the techniques encompassed using a variety of techniques like k-means, k- nearest neighbors, ML, NPL, and Deep Learning with neural networks these algorithms useful in crime detection and prevention purpose using a variety of clustering algorithms, naive Bayes, and linear algorithm helps by systematic approach to identifying and evaluating patterns examining online criminal activity, it is possible to recognize and evaluate criminal patterns and trends.