Cyber deception against DDoS attack using moving target defence framework in SDN IOT-EDGE networks

Galadima, Haula, Seeam, Amar ORCID logoORCID: and Ramsurrun, Visham (2022) Cyber deception against DDoS attack using moving target defence framework in SDN IOT-EDGE networks. 2022 3rd International Conference on Next Generation Computing Applications (NextComp). In: IEEE Nextcomp 2022, 06-07 Oct 2022, Flic-en-Flac, Mauritius. e-ISBN 9781665469548, e-ISBN 9781665469531, pbk-ISBN 9781665469555. [Conference or Workshop Item] (doi:10.1109/NextComp55567.2022.9932172)

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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
Shuffling Mechanism was developed, tested, and evaluated with results showing successful defence against UDP, TCP SYN, and LAND DDoS attacks; preventing IoT devices from being botnet compromised due to the short-lived network address; and ensuring reliable system performance.

Item Type: Conference or Workshop Item (Paper)
Keywords (uncontrolled): IoT, Moving Target Defense, SDN, IDS, DDoS, Deception
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 36483
Notes on copyright: © 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.
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Depositing User: Amar Kumar Seeam
Date Deposited: 10 Oct 2022 12:45
Last Modified: 16 Nov 2022 15:31

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