Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study

arXiv:2404.18328v1 Announce Type: new
Abstract: With the ever-increasing reliance on digital networks for various aspects of modern life, ensuring their security has become a critical challenge. Intrusion Detection Systems play a crucial role in ensuring network security, actively identifying and mitigating malicious behaviours. However, the relentless advancement of cyber-threats has rendered traditional/classical approaches insufficient in addressing the sophistication and complexity of attacks. This paper proposes a novel 3-stage intrusion detection system inspired by a simplified version of the Lockheed Martin …

advancement arxiv attack challenge critical cs.ai cs.cr detection digital graph intrusion intrusion detection intrusion detection systems iot life malicious network networks network security neural networks play prediction role security stage study systems