The Use of Artificial Intelligence and Machine Learning for Cyber Attack Detection and Prevention: Features and Recommendations

Abstract

Cybersecurity is a crucial issue in Ukraine, given the increasing reliance on technology and information systems in the modern world. This dependence creates new opportunities for the growing threat of cybersecurity in Ukraine.

The relevance of the topic, in the context of the rising cybersecurity threat in Ukraine, signifies the necessity to study this issue due to the increasing frequency and complexity of cyber attacks targeting Ukrainian organizations, governmental structures, and citizens.

The current state of cybersecurity measures and the importance of effective actions against cyber attacks indicate the current level of efforts taken for cybersecurity in Ukraine. It emphasizes the importance of developing and implementing effective measures to protect against cyber threats. This may include improving technical systems, enhancing cybersecurity strategies, and adopting advanced technologies such as artificial intelligence and machine learning to elevate the level of protection against cyber threats.

The analysis of current research and developments in the application of artificial intelligence for cybersecurity has identified several directions: anomaly detection algorithms, prediction of cyber attacks, and automated response systems.

A review of successful applications of machine learning for cyber threats has identified directions such as real-time threat detection, big data analysis, integration with other technologies, and a self-learning system.

This analysis allows for the application of current research in the field, considering the advantages and limitations of using artificial intelligence and machine learning for protection against cyber attacks.

The detection and prevention of cyber attacks are crucial scientific tasks that require research and resolution. The application of artificial intelligence and machine learning is one of the primary methods to address this task successfully. Taking into account the system's peculiarities and utilizing optimal protection methods are vital factors for the successful resolution of this scientific task.

Therefore, the aim of this article is to identify the features of using artificial intelligence and machine learning for the detection and prevention of cyber attacks.