Lei Zhou

Orcid: 0000-0002-7566-4819

Affiliations:
  • Suqian University, School of Information Engineering, China
  • Nanjing University of Science and Technology, China (PhD 2021)


According to our database1, Lei Zhou authored at least 13 papers between 2018 and 2026.

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Timeline

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Bibliography

2026
FiDD: Secure Fine-Grained Deduplication and Dynamic Auditing Scheme for Cloud Storage.
IEEE Trans. Netw., 2026

Blockchain-Enabled Efficient Deduplication and Mixed Auditing for Dynamic Cloud Data.
IEEE Trans. Dependable Secur. Comput., 2026

SEEK: A simple defense to model hijacking attack.
Neural Networks, 2026

DGWOSC: A depth-based grey wolf optimizer for reliability aware soft real-time service scheduling and multiserver configuration.
Future Gener. Comput. Syst., 2026

2025
A Multi-KGC Certificateless Anonymous Cloud Sharing Scheme with Threshold-Based Traceability.
Proceedings of the Cyberspace Safety and Security - 15th International Symposium, 2025

A Privacy-Preserving Delegable Auditing Scheme with Edge-Assisted Deduplication in IoT.
Proceedings of the Cyberspace Safety and Security - 15th International Symposium, 2025

2023
DMRA: Model Usability Detection Scheme Against Model-Reuse Attacks in the Internet of Things.
IEEE Internet Things J., October, 2023

Fair Cloud Auditing Based on Blockchain for Resource-Constrained IoT Devices.
IEEE Trans. Dependable Secur. Comput., 2023

2022
Efficient Certificateless Multi-Copy Integrity Auditing Scheme Supporting Data Dynamics.
IEEE Trans. Dependable Secur. Comput., 2022

2021
Multicopy provable data possession scheme supporting data dynamics for cloud-based Electronic Medical Record system.
Inf. Sci., 2021

2020
An Efficient and Secure Data Integrity Auditing Scheme with Traceability for Cloud-Based EMR.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Privacy Preserving Fog-Enabled Dynamic Data Aggregation in Mobile Phone Sensing.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Data integrity verification of the outsourced big data in the cloud environment: A survey.
J. Netw. Comput. Appl., 2018


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