Autonomous Vehicles in 5G and beyond: A Survey

S Hakak, TR Gadekallu, PKR Maddikunta… - Vehicular …, 2023 - Elsevier
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

Federated learning for intrusion detection system: Concepts, challenges and future directions

S Agrawal, S Sarkar, O Aouedi, G Yenduri… - Computer …, 2022 - Elsevier
The rapid development of the Internet and smart devices trigger surge in network traffic
making its infrastructure more complex and heterogeneous. The predominated usage of …

Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey

S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …

Federated learning for privacy preservation in smart healthcare systems: A comprehensive survey

M Ali, F Naeem, M Tariq… - IEEE journal of biomedical …, 2022 - ieeexplore.ieee.org
Recent advances in electronic devices and communication infrastructure have
revolutionized the traditional healthcare system into a smart healthcare system by using …

[HTML][HTML] Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey

AR Javed, MA Hassan, F Shahzad, W Ahmed, S Singh… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …

Privacy-preserving federated learning for internet of medical things under edge computing

R Wang, J Lai, Z Zhang, X Li… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Edge intelligent computing is widely used in the fields, such as the Internet of Medical
Things (IoMT), which has advantages, including high data processing efficiency, strong real …

Fast anomaly identification based on multiaspect data streams for intelligent intrusion detection toward secure industry 4.0

L Qi, Y Yang, X Zhou, W Rafique… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Various cyber attacks often occur in logistics network of the Industry 4.0, which poses a
threat to Internet security. Intrusion detection can intelligently detect anomalous activities …

FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems

KS Arikumar, SB Prathiba, M Alazab, TR Gadekallu… - Sensors, 2022 - mdpi.com
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …

Federated semisupervised learning for attack detection in industrial internet of things

O Aouedi, K Piamrat, G Muller… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Security has become a critical issue for Industry4. 0 due to different emerging cyber-security
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …

Handling privacy-sensitive medical data with federated learning: challenges and future directions

O Aouedi, A Sacco, K Piamrat… - IEEE journal of …, 2022 - ieeexplore.ieee.org
Recent medical applications are largely dominated by the application of Machine Learning
(ML) models to assist expert decisions, leading to disruptive innovations in radiology …