A Review on Cybersecurity based on Machine Learning and Deep Learning Algorithms

Authors

  • Alan Fuad Jahwar Duhok Polytechnic University
  • Siddeeq Y. Ameen Quality Assurance Directorate Duhok Polytechnic University, Duhok, Kurdistan Region, IRAQ

Keywords:

Cybersecurity, Intrusion Detection (ID), Machine Learning (ML), Deep Learning (DL).

Abstract

Machin learning (ML) and Deep Learning (DL) technique have been widely applied to areas like image processing and speech recognition so far. Likewise, ML and DL plays a critical role in detecting and preventing in the field of cybersecurity. In this review, we focus on recent ML and DL algorithms that have been proposed in cybersecurity, network intrusion detection, malware detection. We also discuss key elements of cybersecurity, main principle of information security and the most common methods used to threaten cybersecurity. Finally, concluding remarks are discussed including the possible research topics that can be taken into consideration to enhance various cyber security applications using DL and ML algorithms.

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Published

24-10-2021

Issue

Section

Articles

How to Cite

Jahwar, A. F. ., & Y. Ameen, S. . (2021). A Review on Cybersecurity based on Machine Learning and Deep Learning Algorithms. Journal of Soft Computing and Data Mining, 2(2), 14-25. https://publisher.uthm.edu.my/ojs/index.php/jscdm/article/view/8798