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

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