Utilizing Machine Learning Techniques for Predictive Analysis of Malicious Domains Through URL and Domain Characteristics

Digital transformation is the most technological revolution in the world, cyber defense is one of the major challenges in the digital asset. There are various cyber-criminal activities observed in digital platforms, web applications, and server traffic, and some of the common and various hacking techniques involved during communication and online transactions therefore Cybercriminal theft assessment and vulnerability assessment is one of the prime challenges in today's era. We have proposed a solution to the assessment of the cyber traffic assessment technique with the help of a machine learning model and technique. Machine learning and various Ml algorithms play a vital role in predicting, recommending, and identifying the various complex issues in such real-world problems.