Machine Learning in Cyber Security

Abstract — A component of artificial intelligence (AI), machine learning (ML) enables computers to learn from historical data, identify trends, and make judgments with little to no assistance from humans. Protecting computers, smartphones, servers, networks, and data from malicious attacks is the goal of cyber security. There are two ways that machine learning and cyber security can work together: by protecting machine learning systems and by leveraging machine learning to enhance cyber security. This combination has the potential to improve cyber security technologies, detect unknown and novel threats (known as zero-day attacks), and lessen the need for human intervention. Protecting critical data and systems becoming more difficult as technology advances quickly. In order to improve cyber security, this project intends to use machine learning to develop three distinct systems.

Machine learning, Cyber security, Deep learning, Network, Attack

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