Chaosheng Feng

Orcid: 0000-0002-1797-5280

According to our database1, Chaosheng Feng authored at least 14 papers between 2013 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Model Ownership Protection for Healthcare Consumer Electronics in Federated Edge Learning.
IEEE Trans. Consumer Electron., May, 2025

Enhancing UAV-assisted vehicle edge computing networks through a digital twin-driven task offloading framework.
Wirel. Networks, January, 2025

Can LLM Be a Good Path Planner Based on Prompt Engineering? Mitigating the Hallucination for Path Planning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
An efficient secure interval test protocol for small integers.
J. Inf. Secur. Appl., 2024

StegoFL: Using Steganography and Federated Learning to Transmit Malware.
Proceedings of the 23rd IEEE International Conference on Trust, 2024

2023
A Survey on Federated Learning Poisoning Attacks and Defenses.
CoRR, 2023

2022
An Efficient Ciphertext-Policy Weighted Attribute-Based Encryption for the Internet of Health Things.
IEEE J. Biomed. Health Informatics, 2022

Blockchain-Empowered Decentralized Horizontal Federated Learning for 5G-Enabled UAVs.
IEEE Trans. Ind. Informatics, 2022

Blockchain-Based Cross-Domain Authentication for Intelligent 5G-Enabled Internet of Drones.
IEEE Internet Things J., 2022

2021
Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach.
IEEE Netw., 2021

Cross-domain authentication for 5G-enabled UAVs: a blockchain approach.
Proceedings of the DroneCom '21: Proceedings of the 4th ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2021

2020
Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV.
IEEE Trans. Veh. Technol., 2020

Comment on "An Efficient ABE Scheme With Verifiable Outsourced Encryption and Decryption".
IEEE Access, 2020

2013
General vague rough approximation: an extended method of fuzzy knowledge representation.
J. Exp. Theor. Artif. Intell., 2013


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