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Deep learning Utilization in SDN Networks: A Review Shavan Askar, Kosrat Dlshad Ahmed, Shahab Wahhab Kareem

Deep learning Utilization in SDN Networks: A Review

Author (s)

Shavan Askar, Kosrat Dlshad Ahmed, Shahab Wahhab Kareem

Abstract

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The contexts of SDN or Software Defined Network deliver increased level of programmable and functionality within the network development, network configuration and development of the dynamic management in the software protocol. SDN concept also provides centralized management and development approach for the network selection, network control and data plans. In this paper, different deep learning models and technical processes for the SDN networks have been reviewed.

 Keywords: Deep Leaning, Machine Learning, Cyber Security, Internet of Things, Privacy, Cyber Security.

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Title:Deep learning Utilization in SDN Networks: A Review
Author:Shavan Askar, Kosrat Dlshad Ahmed, Shahab Wahhab Kareem
Journal Name:International Journal of Science and Business
Website:ijsab.com
ISSN:ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI:https://doi.org/10.5281/zenodo.5222205
Media:Online
Volume:5
Issue:6
Acceptance Date:29/05/2021
Date of Publication:19/08/2021
PDF URL:https://ijsab.com/wp-content/uploads/754.pdf
Free download:Available
Page:174-182
First Page:174
Last Page:182
Paper Type:Literature review
Current Status:Published

 

Cite This Article:

Shavan Askar, Kosrat Dlshad Ahmed, Shahab Wahhab Kareem (2021). Deep learning Utilization in SDN Networks: A Review. International Journal of Science and Business, 5(6), 174-182. doi: https://doi.org/10.5281/zenodo.5222205

Retrieved from https://ijsab.com/wp-content/uploads/754.pdf

 

About Author (s)

Shavan Askar (Corresponding Author), Assistant Professor, CEO of Arcella Teleco, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq.

Kosrat Dlshad Ahmed, Information System Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: kosrat.ahmed@epu.edu.iq.

Shahab Wahhab Kareem, Lecturer, Erbil Polytechnic University, Erbil, Iraq.

 

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DOI: https://doi.org/10.5281/zenodo.5222205

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Deep Learning Models for Cyber Security in IoT Networks: A Review Kosrat Dlshad Ahmed & Shavan Askar

Deep Learning Models for Cyber Security in IoT Networks: A Review

Author (s)

Kosrat Dlshad Ahmed & Shavan Askar

Abstract

­

The IoT systems and connectivity provide improved experience and improve the quality of service for the users in different perspectives. Recent development of the technological prospects and management of the sufficient aspects for the delivery of performance need to be ensured in this regard. The concept of IoT is related with the widely connected features, systems, data storage facilities, management processes, applications, devices, users, gateways, services and thousands of other elements. As the importance of IoT applications has been growing in recent times, the prospects for development and management are immense for the development opportunities. In recent times, cybersecurity and ensuring privacy for the users have attracted attention of the users. With growing popularity of the social media platforms, more and more people are becoming connected. With growing opportunity of connectivity, people need more secured space to connect. In this article, different aspects of the cybersecurity based on the deep learning models and analyzing the concepts of machine learning, understanding the concept of security and privacy, contributing to the development and management of cybersecurity etc. To demonstrate the understanding of cybersecurity in the IoT networks, effective deep learning models such as MLP, CNN, LSTP and a hybrid model of CNN and LSTP have been analyzed. To contribute to the learning process, future research opportunities have also been identified.

 Keywords: Deep Leaning, Machine Learning, Cyber Security, Internet of Things, Privacy, Cyber Security.

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Title:Deep Learning Models for Cyber Security in IoT Networks: A Review
Author:Kosrat Dlshad Ahmed & Shavan Askar
Journal Name:International Journal of Science and Business
Website:ijsab.com
ISSN:ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI:https://doi.org/10.5281/zenodo.4497017
Media:Online
Volume:5
Issue:3
Acceptance Date:01/02/2021
Date of Publication:03/02/2021
PDF URL:https://ijsab.com/wp-content/uploads/686.pdf
Free download:Available
Page:61-70
First Page:61
Last Page:70
Paper Type:Literature Review
Current Status:Published

 

Cite This Article:

Kosrat Dlshad Ahmed, Shavan Askar (2021). Deep Learning Models for Cyber Security in IoT Networks: A Review. International Journal of Science and Business, 5(3), 61-70. doi: https://doi.org/10.5281/zenodo.4497017

Retrieved from https://ijsab.com/wp-content/uploads/686.pdf

 

About Author (s)

Kosrat Dlshad Ahmed, Information System Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: kosrat.ahmed@epu.edu.iq.

Shavan Askar (Corresponding Author), Assistant Professor, Erbil Polytechnic University, Erbil, Iraq.  Email: shavan.askar@epu.edu.iq.

 

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DOI: https://doi.org/10.5281/zenodo.4497017