DiMCA: A novel P4-powered framework using machine learning for adaptive defense against combined DDoS and ARP spoofing attacks in SD-IoT networks

Key Points

• Adaptive defense significantly improves resilience against combined DDoS and ARP spoofing attacks in SD-IoT networks.
• Framework employs machine learning algorithms to detect and respond to threats in real-time, enhancing security.
• Developed for Software Defined Internet of Things (SD-IoT) environments to mitigate evolving cyber threats.
• Findings may inform further advancements in cybersecurity strategies for integrated network systems.