IEEE

Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks

The exponential growth of network-based cyberattacks has increased the demand for accurate and adaptive Network Intrusion Detection Systems (NIDS) [1], [2]. In recent years, Machine Learning (ML) has ...
IEEE

Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects

Abstract: Machine learning has brought significant advances in cybersecurity, particularly in the development of Intrusion Detection Systems (IDS). These improvements are mainly attributed to the ...
The New York Times

In Senior Homes, A.I. Technology Is Sensing Falls Before They Happen

Today’s anti-fall technology has come a long way from ‘I’ve fallen and I can’t get up!’ Here’s how it works. By Joyce Cohen Kathy Doyle fell on the street in Manhattan several times over the years.
Scientific Research Publishing

An Enhanced and Explainable Hybrid Ensemble Intrusion Detection System for Connected Vehicles ()

1 Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA. 2 Department of Computer Science, Kettering University, Flint, MI, USA. Intelligent vehicles require strong ...