Girdler, Thomas and Vasilakis, Vasileios orcid.org/0000-0003-4902-8226 (2021) Implementing an intrusion detection and prevention system using Software-Defined Networking:Defending against ARP spoofing attacks and Blacklisted MAC Addresses. Computers & Electrical Engineering. 106990. ISSN 0045-7906
Abstract
This work focuses on infiltration methods, such as Address Resolution Protocol (ARP) spoofing, where adversaries sends fabricated ARP messages, linking their Media Access Control (MAC) address to a genuine device’s Internet Protocol (IP) address. We developed a Software-Defined Networking (SDN)-based Intrusion Detection and Prevention System (IDPS), which defends against ARP spoofing and Blacklisted MAC Addresses. This is done by dynamically adjusting SDN’s operating parameters to detect malicious network traffic. Bespoke software was written to conduct the attack tests and customise the IDPS; this was coupled to a specifically developed library to validate user input. Improvements were made to SDN in the areas of attack detection, firewall, intrusion prevention, packet dropping, and shorter timeouts. Our extensive experimental results show that the developed solution is effective and quickly responds to intrusion attempts. In the considered test scenarios, our measured detection and mitigation times are sufficiently low (in the order of a few seconds).
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 17 Mar 2021 09:30 |
Last Modified: | 02 Apr 2025 23:21 |
Published Version: | https://doi.org/10.1016/j.compeleceng.2021.106990 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.compeleceng.2021.106990 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:172259 |