416 citations · 645 across the 9 of their papers we have counts for
8 papers · 1 filter
A Multi-Objective AutoML-based Efficient Intrusion Detection System for EV Charging Networks
Li Yang
Electric Vehicle Charging Systems (EVCSs) are increasingly connected with Internet of Things (IoT) devices, which improves charging intelligence but also expands their exposure to…
Toward Autonomous and Efficient Cybersecurity: A Multi-Objective AutoML-based Intrusion Detection System
Li Yang, Abdallah Shami
With increasingly sophisticated cybersecurity threats and rising demand for network automation, autonomous cybersecurity mechanisms are becoming critical for securing modern networ…
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis
Li Yang, Mirna El Rajab, Abdallah Shami +1
Zero-Touch Networks (ZTNs) represent a state-of-the-art paradigm shift towards fully automated and intelligent network management, enabling the automation and intelligence required…
Towards Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks
Li Yang, Shimaa Naser, Abdallah Shami +3
The transition from 5G to 6G mobile networks necessitates network automation to meet the escalating demands for high data rates, ultra-low latency, and integrated technology. Recen…
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
Fatemeh Dehrouyeh, Li Yang, Firouz Badrkhani Ajaei +1
As technology advances, the use of Machine Learning (ML) in cybersecurity is becoming increasingly crucial to tackle the growing complexity of cyber threats. While traditional ML m…
Forensic Data Analytics for Anomaly Detection in Evolving Networks
Li Yang, Abdallah Moubayed, Abdallah Shami +6
In the prevailing convergence of traditional infrastructure-based deployment (i.e., Telco and industry operational networks) towards evolving deployments enabled by 5G and virtuali…