Survey on Applications of Deep Learning and Machine Learning Techniques for Cyber Security

Authors

  • Mohammed I. Alghamdi

DOI:

https://doi.org/10.3991/ijim.v14i16.16953

Keywords:

Machine learning, Deep learning, Cybersecurity, Applications

Abstract


The research aimed to conduct an extensive study of machine learning and deep learning methods in cybersecurity. To accomplish the objectives, the research carried out a qualitative study based on secondary data collection to review the available studies and literature. The research has examined three machine learning methods and three deep learning methods to study the most popular techniques used in cybersecurity. During the research, the working mechanism of each method was studied along with their strengths and weaknesses. Also, a comparative discussion has been made to examine the most effective method for cybersecurity. Limitations in the current literature were also identified, and future direction is also given to target and develop the weak areas of machine learning and deep learning methods.

Author Biography

Mohammed I. Alghamdi

Department of Computer Science, Al-Baha University, Al-Baha City, Kingdom of Saudi Arabia

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Published

2020-09-22

How to Cite

I. Alghamdi, M. (2020). Survey on Applications of Deep Learning and Machine Learning Techniques for Cyber Security. International Journal of Interactive Mobile Technologies (iJIM), 14(16), pp. 210–224. https://doi.org/10.3991/ijim.v14i16.16953

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Section

Papers