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ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Imamverdiyev , Y.N. Deep Learning in Cybersecurity: Challenges and Approaches / Y.N. Imamverdiyev , F.D. Abdullayeva // International Journal of Cyber Warfare and Terrorism. - 2020. - N: Volume 10 • Issue 2 • April-June. - P. 82-105. | Annotasiya | In this article, a review and summarization of the emerging scientific approaches of deep learning
(DL) on cybersecurity are provided, a structured and comprehensive overview of the various
cyberattack detection methods is conducted, existing cyberattack detection methods based on DL
is categorized. Methods covering attacks to deep learning based on generative adversarial networks
(GAN) are investigated. The datasets used for the evaluation of the efficiency proposed by researchers
for cyberattack detection methods are discussed. The statistical analysis of papers published
on cybersecurity with the application of DL over the years is conducted. Existing commercial
cybersecurity solutions developed on deep learning are described.
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