[HTML][HTML] Deep learning in food category recognition
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …
research for the past few decades. It is potentially one of the next steps in revolutionizing …
An in-depth survey on virtualization technologies in 6g integrated terrestrial and non-terrestrial networks
6G networks are envisioned to deliver a large diversity of applications and meet stringent
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …
Neuro-symbolic explainable artificial intelligence twin for zero-touch ioe in wireless network
Explainable artificial intelligence (XAI) twin systems will be a fundamental enabler of zero-
touch network and service management (ZSM) for sixth-generation (6G) wireless networks …
touch network and service management (ZSM) for sixth-generation (6G) wireless networks …
A novel federated edge learning approach for detecting cyberattacks in IoT infrastructures
S Abbas, A Al Hejaili, GA Sampedro, M Abisado… - IEEE …, 2023 - ieeexplore.ieee.org
The advancement of the communications system has resulted in the rise of the Internet of
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …
Things (IoT), which has increased the importance of cybersecurity research. IoT, which …
Automated federated learning for intrusion detection of industrial control systems based on evolutionary neural architecture search
In recent years, federated learning has been applied to the security of the Internet of Things
and Industrial Control Systems (ICS) due to its advantages in communication cost and …
and Industrial Control Systems (ICS) due to its advantages in communication cost and …
A federated-ANFIS for collaborative intrusion detection in securing decentralized autonomous organizations
Blockchain has facilitated the emergence of automation and decentralization concepts,
leading to significant organizational and operational changes in businesses, eg …
leading to significant organizational and operational changes in businesses, eg …
[HTML][HTML] A federated learning-based zero trust intrusion detection system for Internet of Things
The rapid expansion of Internet of Things (IoT) devices presents unique challenges in
ensuring the security and privacy of interconnected systems. As cyberattacks become more …
ensuring the security and privacy of interconnected systems. As cyberattacks become more …
Against Network Attacks in Renewable Power Plants: Malicious Behavior Defense for Federated Learning
X Wu, Z Jin, J Zhou, K Liu, Z Liu - Computer Networks, 2024 - Elsevier
As reducing carbon emissions can relieve environmental concerns, networks-supported
renewable power plants are being built more and more. Inevitable network attacks have …
renewable power plants are being built more and more. Inevitable network attacks have …
Exploring the Landscape of AI-SDN: A Comprehensive Bibliometric Analysis and Future Perspectives
The rising influence of artificial intelligence (AI) enables widespread adoption of the
technology in every aspect of computing, including Software-Defined Networking (SDN) …
technology in every aspect of computing, including Software-Defined Networking (SDN) …
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
This paper explores the integration of active machine learning (ML) for 6G networks, an area
that remains under-explored yet holds potential. Unlike passive ML systems, active ML can …
that remains under-explored yet holds potential. Unlike passive ML systems, active ML can …