Detection of Cyber Attacks using Machine Learning

Abstract

Abstract: In today's world, every aspect of daily life is now dependent on cyberspace. As a result, cybercrimes and threats are becoming more likely. Numerous machine learning methods have been developed to combat cyber threats and prevent them. Machine learning played an important role to detect the cyber-attacks as machine learning algorithms were used for the detection of cyber-attacks. The study aims to compare different machine learning algorithms used for detecting cyber-attacks and provide a comparative analysis based on different metrics. The paper presents a literature review of various detection techniques used for cyber-attacks detection. The comparison table in the paper compares different machine learning algorithms used for detecting cyber-attacks. The algorithms are compared on different metrics such as accuracy, methods used, datasets, and performance. The paper highlights the importance of detection of cyber-attacks and the effectiveness of machine learning algorithms in detecting such attacks.