AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Due to the massive expansion of Internet of Things systems and the variety of anomalous data resulting from faulty sensors, cyberattacks, or communication failures, it has become difficult to handle this type of data. Although current machine learning and statistical analysis techniques offer high accuracy in detecting...
Abstract— Heterogeneous Wireless Sensor Networks (HWSNs) are increasingly employed in environmental monitoring, industrial automation, healthcare, surveillance, smart agriculture, and intelligent infrastructure. The heterogeneous characteristics of sensor nodes provide flexibility in sensing and communication but also...
Highlights What are the main findings? A strictly alarm-gated, run-disjoint protocol yields conditional physical-feature AUCs of 0.873 on TEP and 0.895 on the wind-farm simulation. A separate benign-sensor-fault stress test preserves process-versus-measurement-integrity ranking but forces matched sensor-fault/attack ca...
The proposed localized Fault Detection Node Scenario (FDNS), which shifts the burden of fault diagnostics from a centralized Base Station to local, one-hop neighboring sensor nodes, successfully intercepts the latency escalations that cripple standard routing protocols under failure.
Industrial Control Systems (ICSs) support critical infrastructure operations but are increasingly exposed to sophisticated cyber-attacks that may closely resemble legitimate process behavior. This characteristic makes reliable, adaptive, and interpretable anomaly detection challenging, particularly under heterogeneous...
The rapid growth of Internet of Things (IoT) deployments has increased the need for dependable mechanisms for detecting and isolating abnormal network behaviour. Packet loss, latency, congestion, and intermittent connectivity can degrade data integrity, service continuity, and operational reliability, particularly in d...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.