Survey on Applications of Deep Learning and Machine Learning Techniques for Cyber Security
Dublin Core
Title
Survey on Applications of Deep Learning and Machine Learning Techniques for Cyber Security
Subject
Machine learning
Deep learning
Cybersecurity
Applications
Description
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.
Creator
I. Alghamdi, Mohammed
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 16 (2020); pp. 210-224
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2020-09-22
Rights
Copyright (c) 2020 Haider Th.Salim Alrikabi, Mohammed I. Alghamdi
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Identifier
Citation
I. Alghamdi, Mohammed, Survey on Applications of Deep Learning and Machine Learning Techniques for Cyber Security, International Association of Online Engineering (IAOE), Vienna, Austria, 2020, accessed November 7, 2024, https://igi.indrastra.com/items/show/1826