279 citations · 330 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection
MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif +1
Cyber-security garnered significant attention due to the increased dependency of individuals and organizations on the Internet and their concern about the security and privacy of t…