3 citations · 4 across the 5 of their papers we have counts for
5 papers · 1 filter
Cybersecurity in Edge Computing: A Trust-Aware Federated Hybrid Intrusion Detection Framework
Zawad Yalmie Sazid, Robert Abbas
Edge computing has emerged as a critical computing paradigm in modern distributed systems by migrating data processing closer to end users and Internet of Things (IoT) devices. Whi…
A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems
Zawad Yalmie Sazid, Robert Abbas, Sasa Maric
AI-powered edge computing security is moving Intelligent Transportation Systems (ITS) from passive, rule-based protections to proactive, smart, zero-touch, self-sufficient safeguar…
Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
Rasil Baidar, Sasa Maric, Robert Abbas
The exponential expansion of IoT and 5G-Advanced applications has enlarged the attack surface for DDoS, malware, and zero-day intrusions. We propose an intrusion detection system t…
System Security Framework for 5G Advanced /6G IoT Integrated Terrestrial Network-Non-Terrestrial Network (TN-NTN) with AI-Enabled Cloud Security
Sasa Maric, Rasil Baidar, Robert Abbas +1
The integration of Terrestrial Networks (TN) and Non-Terrestrial Networks (NTN), including 5G Advanced/6G and the Internet of Things (IoT) technologies, using Low Earth Orbit (LEO)…
A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
Sushil Shakya, Robert Abbas
This paper presents the detection of DDoS attacks in IoT networks using machine learning models. Their rapid growth has made them highly susceptible to various forms of cyberattack…