A survey of cyber-physical systems from a game-theoretic perspective

W Tushar, C Yuen, TK Saha, S Nizami, MR Alam… - IEEE …, 2023 - ieeexplore.ieee.org
With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …

Privacy-preserving multiobjective task assignment scheme with differential obfuscation in mobile crowdsensing

T Peng, W You, K Guan, E Luo, S Zhang… - Journal of Network and …, 2024 - Elsevier
The Mobile crowdsensing (MCS) platforms perform optimal task assignments by collecting a
large amount of user information to improve system performance and efficiency. However …

Target-driven obstacle avoidance algorithm based on DDPG for connected autonomous vehicles

Y Chen, W Han, Q Zhu, Y Liu, J Zhao - EURASIP Journal on advances in …, 2022 - Springer
In the field of autonomous driving, obstacle avoidance is of great significance for safe
driving. At present, in addition to traditional obstacle avoidance algorithms including VFH …

Break the data barriers while keeping privacy: A graph differential privacy method

Y Li, X Tao, X Zhang, M Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The booming development of Internet of Vehicles (IoV) has brought new vitality to the
construction of intelligent transportation systems (ITS). At the same time, a huge amount of …

A complexity-reduced QRD-SIC detector for interleaved OTFS

H Shao, H Zhang, H Zhou, J Wang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Signal detectors are quite important to attain the diversity of doubly-dispersive wireless
channels. Detectors based on message-passing (MP) of factor graphs have been regarded …

An efficient and privacy-preserving query scheme in intelligent transportation systems

L Tang, M He, L Xiong, N Xiong, Q Luo - Information Sciences, 2023 - Elsevier
Privacy preservation is a crucial aspect of intelligent transportation systems, particularly in
queries involving sensitive data stored in the Cloud. However, resource-constrained …

Privacy-Preserving Federated Learning via Disentanglement

W Zhou, P Li, Z Han, X Lu, J Li, Z Ren… - Proceedings of the 32nd …, 2023 - dl.acm.org
The trade-off between privacy and accuracy presents a challenge for current federated
learning (FL) frameworks, hindering their progress from theory to application. The main …

Evaluating the Impact of Mobility on Differentially Private Federated Learning

E Kim, EK Lee - Applied Sciences, 2024 - mdpi.com
This paper investigates differential privacy in federated learning. This topic has been actively
examined in conventional network environments, but few studies have investigated it in the …

A blockchain‐based secure framework for data management

O Zorlu, A Ozsoy - IET Communications, 2024 - Wiley Online Library
Data management is a crucial requirement due to the autonomous and constrained nature
of Unmanned Aerial Vehicles (UAVs), Internet of Things (IoTs), and the aviation domain. The …

Research on Position-Aided Beamforming for Connected Automatic Vehicles

J Zhao, C Su, Y Wang, Q Zhu - 2022 2nd International …, 2022 - ieeexplore.ieee.org
In 4G LTE and 5G NR, beamforming has received extensive research and attention, mainly
including location-based codebook beamforming, digital beamforming, analog beamforming …