Intelligent Data Encryption Classifying Complex Security Breaches Using Machine Learning Technique

Abstract

Attacks targeting cybersecurity are getting more widespread and complex over time. Additional innovation and rapid application development methodology within combative tactics have been required due to the increasing complexity and technological sophistication that have been developing. While still extensively used and encouraged, previous approaches to penetration detection and packet inspection are not sufficient for meeting the preferences of changing security threats. Machine learning is being touted as a supplementary justification for keyloggers, trojan horses, and other cyberattacks as computational capabilities and affordability keep on increasing. The total amount of information gathered by electronic objects has drastically increased in recent years as a consequence of the fast and easy efficiency innovations in some of those peripherals and their use in a range of applications.