Blockchain intelligence for internet of vehicles: Challenges and solutions

X Wang, H Zhu, Z Ning, L Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

Advanced scenario generation for calibration and verification of autonomous vehicles

X Li, S Teng, B Liu, X Dai, X Na… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As driving scenarios and autonomous vehicles (AVs) become increasingly intricating, there
is an increasing need for innovative frameworks that can enhance and test AV capabilities …

A taxonomy and analysis of misbehaviour detection in cooperative intelligent transport systems: a systematic review

MA Amanullah, SW Loke, M Baruwal Chhetri… - ACM Computing …, 2023 - dl.acm.org
Cooperative Intelligent Transport Systems (C-ITS) is one of the proposed solutions to
improve the safety and efficiency of road transport. However, C-ITS is prone to …

GPU-free specific emitter identification using signal feature embedded broad learning

Y Zhang, Y Peng, J Sun, G Gui, Y Lin… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Emerging wireless networks may suffer severe security threats due to the ubiquitous access
of massive wireless devices. Specific emitter identification (SEI) is considered as one of the …

Federated continuous learning based on stacked broad learning system assisted by digital twin networks: An incremental learning approach for intrusion detection in …

X He, Q Chen, L Tang, W Wang, T Liu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The edge of the Internet of Things (IoT), which consists of unmanned aerial vehicles (UAVs),
is vulnerable to network intrusion because software and wireless connections are used …

iBT-Net: an incremental broad transformer network for cancer drug response prediction

Y Zhan, J Guo, CL Philip Chen… - Briefings in …, 2023 - academic.oup.com
In modern precision medicine, it is an important research topic to predict cancer drug
response. Due to incomplete chemical structures and complex gene features, however, it is …

MEDIA: An incremental DNN based computation offloading for collaborative cloud-edge computing

L Zhao, Y Han, A Hawbani, S Wan… - … on Network Science …, 2023 - ieeexplore.ieee.org
MobileCloud Computing (MCC) provides computing, storage, and other fruitful services to
end users. Offloading such tasks to cloud servers can help to fulfill the demands of extensive …

A survey on ai/ml-driven intrusion and misbehavior detection in networked autonomous systems: Techniques, challenges and opportunities

O Ajibuwa, B Hamdaoui, AA Yavuz - arXiv preprint arXiv:2305.05040, 2023 - arxiv.org
AI/ML-based intrusion detection systems (IDSs) and misbehavior detection systems (MDSs)
have shown great potential in identifying anomalies in the network traffic of networked …

[HTML][HTML] Public transport congestion detection using incremental learning

LA Makara, P Maric, A Pekar - Pervasive and Mobile Computing, 2023 - Elsevier
In the past decade, intelligent transportation systems have emerged as an efficient way of
improving transportation services, while machine learning has been the key driver that …

[PDF][PDF] AI/ML-Driven Intrusion and Misbehavior Detection in Networked Autonomous Systems: A Survey of Common Practices

O Ajibuwa, B Hamdaoui, AA Yavuz - 2023 - ir.library.oregonstate.edu
AI/ML-based intrusion detection systems (IDSs) and misbehavior detection systems (MDSs)
have shown great potential in identifying anomalies in network traffic of networked …