Details

Autor(en) / Beteiligte

• Salloum, Said A.
• Alshurideh, Muhammad
• Elnagar, Ashraf
• Shaalan, Khaled

Titel

Machine Learning and Deep Learning Techniques for Cybersecurity: A Review

Ist Teil von

• Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020), p.50-57

Ort / Verlag

Cham: Springer International Publishing

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• In this review, significant literature surveys on machine learning (ML) and deep learning (DL) techniques for network analysis of intrusion detection are explained. In addition, it presents a short tutorial explanation on every ML/DL method. Data holds a significant position in ML/DL methods; hence this paper highlights the datasets used in machine learning techniques, which are the primary tools for analyzing network traffic and detecting abnormalities. In addition, we elaborate on the issues faced in using ML/DL for cybersecurity and offer recommendations for future studies.