Cyber attacks become more advanced and risk to information systems and digital infrastructure. Legacy security mechanisms are often blind to novel and mutating threats. This research examines the deployment of Artificial Intelligence methods for discovering cyber threats. Benchmark datasets as NSL-KDD and CICIDS2017, applied machine learning and deep learning models. Results: The AI-based methods are effective in detection of disorders and significantly outperform conventional techniques with respect to the accuracy of detection and false positives.
Detecting Cyber Attacks Using Artificial Intelligence Approaches (DCAIA)
DOI:
Abstract
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