Dynamic ARP Cache Poisoning Detection and Enhanced Prevention in Virtual Networks Using SDN and Real-Time Traffic Analysis with Scapy
Ali, Ala’a Alsheikh, McGarry, Kenneth, Baglee, David and Eliot, Neil (2025) Dynamic ARP Cache Poisoning Detection and Enhanced Prevention in Virtual Networks Using SDN and Real-Time Traffic Analysis with Scapy. In: UNSPECIFIED Springer. (In Press)
Item Type: | Book Section |
---|
Abstract
This study presents an advanced detection and mitigation framework against ARP spoofing—a major threat exploiting authentication gaps in the ARP protocol. Leveraging Scapy integrated with Software-Defined Networking (SDN) technologies, including the Ryu controller and Open vSwitch, the research introduces a custom ARP cache poisoning script that covertly reroutes network traffic to an attacker-controlled node with precision and control. Deployed in a virtualized environment, the script was evaluated against tools like Ettercap and Bettercap, achieving superior manipulation capabilities and a 100% ARP table compromise rate. The tailored SDN-based detection tool further demonstrated impressive performance, identifying 98.33% of spoofing activities with a low detection latency of 0.024 seconds and minimal CPU usage, ensuring network efficiency. This research sets a new benchmark in ARP spoofing mitigation and paves the way for future enhancements such as ARP table pre-population and broader protocol support, strengthening defenses in virtualized environments.
![]() |
PDF (Author Accepted Manuscript on publisher's template (LaTex))
AlaaPaper V4.pdf Restricted to Repository staff only Download (1MB) |
More Information
Uncontrolled Keywords: ARP Spoofing Detection, Software-Defined Networking (SDN), Scapy, ARP Cache Poisoning, |
Depositing User: Kenneth McGarry |
Identifiers
Item ID: 19244 |
URI: http://sure.sunderland.ac.uk/id/eprint/19244 | Official URL: https://american-cse.org/csce2025/ |
Users with ORCIDS
Catalogue record
Date Deposited: 21 Jul 2025 15:21 |
Last Modified: 21 Jul 2025 15:21 |
Author: |
Kenneth McGarry
![]() |
Author: |
David Baglee
![]() |
Author: |
Neil Eliot
![]() |
Author: | Ala’a Alsheikh Ali |
University Divisions
Faculty of Business and TechnologySubjects
Computing > CybersecurityComputing > Artificial Intelligence
Computing
Actions (login required)
![]() |
View Item (Repository Staff Only) |