Thwarting Cyber Crime and Phishing Attacks with Machine Learning: A Study

摘要

Almost over 4 billion people are currently making rampant usage of the internet. The massive utilization of mobile technology along with the rise of the digital era caused a socio-technical threat to the Government and to the public. Many new developments in the internet and modern technologies give rise to new illegal and unethical opportunities among which some of them are crime. Cyber crime is an unlawful means which makes use of a digital media either as a tool or as a target or both. Cyber crime cases, which includes mainly the Phishing attacks and many other attacks in the prevailing COVID -19 situation, have reached an alarming rate with the outburst of numerous forms of crime. This paper focuses on various types of cyber crime and targets some of the present day cyber crime attacks based on Phishing, Artificial Intelligence, Cloud technology and Block chain. The principal objective of this work is to identify how Machine Learning can be deployed in detection of diversified fields of cyber crime. The application of various Machine Learning models in the prediction, identification and mitigation of complex threats is also discussed.