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 ...
militarnyi

Ukraine First to Deploy Quantum Systems’ Vector AI Drones With Advanced Acoustic Artillery Detection

German drone manufacturer Quantum Systems has provided Ukraine with the advanced Vector AI drone, featuring artificial intelligence and an acoustic artillery detection system. Quantum Systems ...
Scientific Research Publishing

Chen, X., Zhang, L. and Li, Y. (2021) Network Security and Intrusion Detection Systems: Challenges and Strategies in the IoT Era. Cybersecurity, 7, 1-19.

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...
Scientific Research Publishing

Chen, Y. (2021) Challenges of Intrusion Detection Systems in Dynamic Network Environments. International Journal of Computer Applications, 178, 45-55.

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...