Survey on applications of deep learning and machine learning techniques for cyber security

被引:5
|
作者
Alghamdi M.I. [1 ]
机构
[1] Al-Baha University, Al-Baha City, Kingdom of Saudi Arabia, Al-Baha
来源
Alghamdi, Mohammed I. (mialmushilah@bu.edu.sa) | 2020年 / International Association of Online Engineering卷 / 14期
关键词
Applications; Cybersecurity; Deep learning; Machine learning;
D O I
10.3991/ijim.v14i16.16953
中图分类号
学科分类号
摘要
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. © 2020 by the authors.
引用
收藏
页码:210 / 224
页数:14
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