Intrusion detection and prevention system for an IoT environment
Article
Kumar, A., Abhishek, K., Ghalib, M., Shankar, A. and Cheng, X. 2022. Intrusion detection and prevention system for an IoT environment. Digital Communications and Networks. 8 (4), pp. 540-551. https://doi.org/10.1016/j.dcan.2022.05.027
Type | Article |
---|---|
Title | Intrusion detection and prevention system for an IoT environment |
Authors | Kumar, A., Abhishek, K., Ghalib, M., Shankar, A. and Cheng, X. |
Abstract | Internet of Things (IoT) security is the act of securing IoT devices and networks. IoT devices, including industrial machines, smart energy grids, and building automation, are extremely vulnerable. With the goal of shielding network systems from illegal access in cloud servers and IoT systems, Intrusion Detection Systems (IDSs) and Network-based Intrusion Prevention Systems (NBIPSs) are proposed in this study. An intrusion prevention system is proposed to realize NBIPS to safeguard top to bottom engineering. The proposed NBIPS inspects network activity streams to identify and counteract misuse instances. The NBIPS is usually located specifically behind a firewall, and it provides a reciprocal layer of investigation that adversely chooses unsafe substances. Network-based IPS sensors can be installed either in an inline or a passive model. An inline sensor is installed to monitor the traffic passing through it. The sensors are installed to stop attacks by blocking the traffic using an IoT signature-based protocol. |
Keywords | IDS and IPS; Cloud; Firewall; Denial of service; Smart environment; Internet of things; NBIPS |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
Middlesex University Theme | Creativity, Culture & Enterprise |
Publisher | Elsevier |
KeAi Communications | |
Journal | Digital Communications and Networks |
ISSN | |
Electronic | 2352-8648 |
Publication dates | |
Online | 16 Jun 2022 |
Aug 2022 | |
Publication process dates | |
Submitted | 23 Sep 2020 |
Accepted | 29 May 2022 |
Deposited | 20 Aug 2024 |
Output status | Published |
Publisher's version | License File Access Level Open |
Copyright Statement | © 2022 Chongqing University of Posts and Telecommunications. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license. |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.dcan.2022.05.027 |
Web of Science identifier | WOS:000877905400015 |
https://repository.mdx.ac.uk/item/188688
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