Predicting the Cyber Security Models Using Machine Learning Algorithms

S V N SWETHA, K SURYA TEJA, G MEGHANA REDDY, N VINAY KUMAR

Abstract


In the ever growing battlefield of cyber security, it is nearly impossible to quantify the reasons why cyber security is important. Allowing malicious threats to run amok anywhere, at any time, and in any context is far from acceptable, and it especially applies to the intricate web of customer and company data that cyber security teams are striving to protect. Cybersecurity is a necessary consideration for individuals and families, as well as businesses, governments, and educational institutions. With help of Machine Learning Can Advance Cyber Security Landscape. Businesses today are gathering huge amounts of data. Data is at the heart of just about any business-critical system you can think of. This also includes infrastructure systems. Today’s high-tech infrastructure, including network and cybersecurity systems are gathering tremendous amounts of data and analytics on most key aspects of mission-critical systems. While human beings still provide the key operational oversight and intelligent insights into today’s infrastructure, machine learning and artificial intelligence are gaining huge momentum in most areas of today’s systems, whether positioned on-premise  or in the cloud.





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