Cyber deception against DDoS attack using moving target defence framework in SDN IOT-EDGE networks
Conference paper
Galadima, H., Seeam, A. and Ramsurrun, V. 2022. Cyber deception against DDoS attack using moving target defence framework in SDN IOT-EDGE networks. 3rd International Conference on Next Generation Computing Applications (NextComp). Flic-en-Flac, Mauritius 06 - 08 Oct 2022 IEEE. pp. 1-6 https://doi.org/10.1109/NextComp55567.2022.9932172
Type | Conference paper |
---|---|
Title | Cyber deception against DDoS attack using moving target defence framework in SDN IOT-EDGE networks |
Authors | Galadima, H., Seeam, A. and Ramsurrun, V. |
Abstract | Software Defined Networking (SDN) networking paradigm advancements are advantageous, but they have also brought new security concerns. The Internet of Things (IoT) Edge Computing servers provide closer access to cloud services and is also a point of target for availability attacks. The Distributed Denial of Service (DDoS) attacks on SDN IoT-Edge Computing caused by botnet of IoT hosts has compromised major services and is still an impending concern due to the Work From Home virtual office shift attributed by Covid19 pandemic. The effectiveness of a Moving Target Defense (MTD) technique based on SDN for combating DDoS attacks in IoT-Edge networks was investigated in this study with a test scenario based on a smart building. An MTD Reactive and Proactive Network Address |
Keywords | IoT, Moving Target Defense, SDN, IDS, DDoS, Deception |
Middlesex University Theme | Creativity, Culture & Enterprise |
Conference | 3rd International Conference on Next Generation Computing Applications (NextComp) |
Page range | 1-6 |
Proceedings Title | 2022 3rd International Conference on Next Generation Computing Applications (NextComp) |
ISBN | |
Electronic | 9781665469548 |
Electronic | 9781665469531 |
Paperback | 9781665469555 |
Publisher | IEEE |
Publication dates | |
06 Oct 2022 | |
Online | 31 Oct 2022 |
Publication process dates | |
Deposited | 10 Oct 2022 |
Accepted | 01 Sep 2022 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Digital Object Identifier (DOI) | https://doi.org/10.1109/NextComp55567.2022.9932172 |
Language | English |
https://repository.mdx.ac.uk/item/8q141
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