Karuniawan, Rickho Rizky and Santoso, Sugeng and Al Fikri, Muhamad and Argadilah, M. (2023) Learning Cyber Security and Machine Engineering at the University. Blockchain Frontier Technology (B-Front), 3 (1). pp. 1-6. ISSN 2808-0009
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Abstract
In this review, key literature reviews on network analysis and intrusion detection using machine learning (ML) and deep learning (DL) approaches are explained. It also provides a brief lesson description for each ML/DL procedure. This paper covers the datasets used in machine learning techniques, which are the main instruments for evaluating network traffic and detecting irregularities. Data holds a key role in ML/DL approaches. We also go into further detail about the problems with using ML/DL to cybersecurity and make suggestions for future research.
Item Type: | Article |
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Subjects: | Technologies > Cyber Security General > Learning Technologies > Machine Learning |
Depositing User: | Admin Digital Blue Ocean |
Date Deposited: | 03 Jul 2023 06:11 |
Last Modified: | 03 Jul 2023 06:11 |
URI: | http://dbo.raharja.ac.id/id/eprint/1303 |
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