The Role of Artificial Intelligence in Dealing with Advanced Cyber Attacks: A Comparative Study of Algorithms
DOI:
https://doi.org/10.25130/jfa.conf.10.5.1Keywords:
Artificial Intelligence, Cyber Attacks, Intrusion Detection Systems, Machine Learning and Deep Learning, Artificial Neural NetworksAbstract
The digital world is witnessing an unprecedented escalation in the extent and development of cyber attacks, which requires more intelligent security solutions that adapt to the constantly changing technological environment. This research aims to explore the effective role of artificial intelligence technologies, especially machine learning algorithms, in dealing with advanced cyber attacks, such as intelligent phishing attacks, advanced malicious software, and zero-day attacks. The digital world is witnessing an unprecedented escalation in the extent and development of cyber attacks, which requires more intelligent security solutions that adapt to the constantly changing technological environment. This research aims to explore the effective role of artificial intelligence technologies, especially machine learning algorithms, in dealing with advanced cyber attacks, such as attacks on the Day of Zero, intelligent phishing attacks, advanced malware.
The research is based on a comparison method between a variety of smart algorithms used in intrusion detection systems (IDS), such as decision trees, artificial neural networks (ANN), support vectors (SVM), and deep learning algorithms. Estimating the performance of these algorithms according to the criteria of accuracy, detection rate, false alarm rate,
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