A Review and Analysis on Various Cyber Security Threats on the Basis of Machine Learning Algorithms

Abstract

The field of Artificial Intelligence (AI) known as machine learning (or ML for short) helps develop systems that can learn from examples, spot trends, and make rational decisions with little to no human intervention. Cybersecurity methods provide up-to-date security answers for detecting and countering dangers. Security solutions that were formerly adequate are now insufficient since criminals may circumvent traditional security procedures. Cybersecurity refers to the practice of keeping computer systems, servers, mobile devices, networks, and the data associated with them safe from malicious attacks. The two most critical parts of combining ML with cyber security are (1) ensuring that cyber security is taken into consideration whenever ML is used and (2) utilising ML to facilitate cyber security. We hope this union will help us in many ways; for example, by making cyber security procedures more efficient, bolstering the safety of machine learning models, and allowing us to detect zero-day vulnerabilities with little human intervention.