A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges

Internet of Things (IoT) is widely accepted technology in both industrial as well as academic field. The objective of IoT is to combine the physical environment with the cyber world and create one big intelligent network. This technology has been applied to various application domains such as develo...

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Published in:	Archives of computational methods in engineering Vol. 28; no. 4; pp. 3211 - 3243
Main Authors:	Thakkar, Ankit, Lohiya, Ritika
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.06.2021 Springer Nature B.V
Subjects:	Applications programs Deep learning Domains Electronic devices Engineering Firewalls Intelligent networks Internet of Things Intrusion detection systems Machine learning Mathematical and Computational Engineering Original Paper Security management Smart buildings Smart grid Smart grid technology Wireless networks Wireless sensor networks
ISSN:	1134-3060, 1886-1784
Online Access:	Get full text
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Abstract	Internet of Things (IoT) is widely accepted technology in both industrial as well as academic field. The objective of IoT is to combine the physical environment with the cyber world and create one big intelligent network. This technology has been applied to various application domains such as developing smart home, smart cities, healthcare applications, wireless sensor networks, cloud environment, enterprise network, web applications, and smart grid technologies. These wide emerging applications in variety of domains raise many security issues such as protecting devices and network, attacks in IoT networks, and managing resource-constrained IoT networks. To address the scalability and resource-constrained security issues, many security solutions have been proposed for IoT such as web application firewalls and intrusion detection systems. In this paper, a comprehensive survey on Intrusion Detection System (IDS) for IoT is presented for years 2015–2019. We have discussed various IDS placement strategies and IDS analysis strategies in IoT architecture. The paper discusses various intrusions in IoT, along with Machine Learning (ML) and Deep Learning (DL) techniques for detecting attacks in IoT networks. The paper also discusses security issues and challenges in IoT.
AbstractList	Internet of Things (IoT) is widely accepted technology in both industrial as well as academic field. The objective of IoT is to combine the physical environment with the cyber world and create one big intelligent network. This technology has been applied to various application domains such as developing smart home, smart cities, healthcare applications, wireless sensor networks, cloud environment, enterprise network, web applications, and smart grid technologies. These wide emerging applications in variety of domains raise many security issues such as protecting devices and network, attacks in IoT networks, and managing resource-constrained IoT networks. To address the scalability and resource-constrained security issues, many security solutions have been proposed for IoT such as web application firewalls and intrusion detection systems. In this paper, a comprehensive survey on Intrusion Detection System (IDS) for IoT is presented for years 2015–2019. We have discussed various IDS placement strategies and IDS analysis strategies in IoT architecture. The paper discusses various intrusions in IoT, along with Machine Learning (ML) and Deep Learning (DL) techniques for detecting attacks in IoT networks. The paper also discusses security issues and challenges in IoT.
Author	Thakkar, Ankit Lohiya, Ritika
Author_xml	– sequence: 1 givenname: Ankit surname: Thakkar fullname: Thakkar, Ankit organization: Department of Computer Science and Engineering, Institute of Technology, Nirma University – sequence: 2 givenname: Ritika orcidid: 0000-0003-1794-8300 surname: Lohiya fullname: Lohiya, Ritika email: 18ftphde30@nirmauni.ac.in organization: Department of Computer Science and Engineering, Institute of Technology, Nirma University
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Snippet	Internet of Things (IoT) is widely accepted technology in both industrial as well as academic field. The objective of IoT is to combine the physical...
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SubjectTerms	Applications programs Deep learning Domains Electronic devices Engineering Firewalls Intelligent networks Internet of Things Intrusion detection systems Machine learning Mathematical and Computational Engineering Original Paper Security management Smart buildings Smart grid Smart grid technology Wireless networks Wireless sensor networks
Title	A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges
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