3.3k citations · 4.6k across the 20 of their papers we have counts for
20 papers
An LLM-Assisted AutoML Framework for Intrusion Detection in IoT Networks
Li Yang
Internet of Things (IoT) systems are increasingly deployed in smart homes, transportation, energy systems, and critical infrastructure. This broad connectivity improves service int…
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…
Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion Detection
Li Yang, Abdallah Shami
The rapid evolution of mobile networks from 5G to 6G has necessitated the development of autonomous network management systems, such as Zero-Touch Networks (ZTNs). However, the inc…