Journal of Applied Science and Engineering

Published by Tamkang University Press

ESCI jase impact factor scopus logo open access rate of Scopus journal

Cloud-Edge Data Security Transmission and Privacy Protection Encryption Mechanism for BIM Collaborative Design

 2026

 Volume 35

Tan Ye, Bin Xu, Hu Jiang

Zhejiang Huazhan Research and Design Institute Co., Ltd. Ningbo Zhejiang, 315100, China

Received: July 22, 2026
Accepted: August 19, 2026
Publication Date: September 25, 2026

上傳圖片

Comparison of Encryption and Decryption Times for Different Methods.

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Download Citation: BibTeX | http://dx.doi.org/10.6180/jase.202612_35.059

Download PDF

With the in-depth application of Building Information Modeling (BIM), BIM collaborative design has evolved into a distributed system with multiple stakeholders, permissions, versions, and terminals carrying sensitive component, structural, MEP, cost, and change information, yet centralized cloud platforms remain weak in secure large-model transmission, cross-organizational authorization, dynamic revocation, integrity verification, and high-concurrency access. This study proposes a cloud-edge data security and privacy protection mechanism on a four-layer architecture (BIM user, edge security, cloud collaboration, security service), decentralizing identity pre-verification, policy caching, key negotiation, model sharding, and integrity checks to edge nodes, while hybrid AES-256/attribute-based encryption protects fragments and keys, Merkle trees verify integrity, and dynamic revocation uses token expiration and key-version updates. Simulations show that for a 1000 MB model, latency drops about 28.6% versus CP-ABE and 36.8% versus Blockchain-BIM, throughput under 2000 concurrent requests improves about 41.3% over cloud-only access control, with superior tamper detection, privacy protection, revocation latency, load balancing, and scalability.

Keywords: BIM collaborative design; Cloud-edge collaboration; Secure transmission; Privacy protection; Hybrid encryption; Attribute-based encryption; Access control; Merkle integrity verification; Dynamic revocation

  1. [1] M. Das, X. Tao, and J. C. P. Cheng, (2021) “BIM Security: A Critical Review and Recommendations Using Encryption Strategy and Blockchain” Automation in Construction 126: 103682. DOI: https://doi.org/10.1016/j.autcon.2021.103682.
  2. [2] X. Tao, Y. Liu, P. Y. Wong, K. Chen, M. Das, and J. C. P. Cheng, (2022) “Confidentiality-Minded Framework for Blockchain-Based BIM Design Collaboration” Automation in Construction 136: 104172. DOI: https://doi.org/10.1016/j.autcon.2022.104172.
  3. [3] J. Liu, G. Xiang, C. Li, and W. Xie, (2024) “Traceable Attribute-Based Encryption Scheme Using BIM Collaborative Design” Buildings 14(3): 731. DOI: https://doi.org/10.3390/buildings14030731.
  4. [4] A. S. Erri Pradeep, T. W. Yiu, Y. Zou, and R. Amor, (2021) “Blockchain-Aided Information Exchange Records for Design Liability Control and Improved Security” Automation in Construction 126: 103667. DOI: https://doi.org/10.1016/j.autcon.2021.103667.
  5. [5] F. Elghaish, M. R. Hosseini, S. Matarneh, S. Talebi, S. Wu, I. Martek, M. Poshdar, and N. Ghodrati, (2021) “Blockchain and the Internet of Things for the Construction Industry: Research Trends and Opportunities” Automation in Construction 132: 103942. DOI: https://doi.org/10.1016/j.autcon.2021.103942.
  6. [6] R. Sönmez, S. Ahmadisheykhsarmast, and A. A. Güngör, (2022) “BIM Integrated Smart Contract for Construction Project Progress Payment Administration” Automation in Construction 139: 104294. DOI: https://doi.org/10.1016/j.autcon.2022.104294.
  7. [7] A. Alwarafy, K. A. Al-Thelaya, M. Abdallah, J. Schneider, and M. Hamdi, (2021) “A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things” IEEE Internet of Things Journal 8(6): 4004-4022. DOI: https://doi.org/10.1109/JIOT.2020.3015432.
  8. [8] A. M. Alwakeel, (2021) “An Overview of Fog Computing and Edge Computing Security and Privacy Issues” Sensors 21(24): 8226. DOI: https://doi.org/10.3390/s21248226.
  9. [9] K. Karthikeyan and P. Madhavan, (2023) “Multilayer Privacy-Preserving Model for Security and Privacy Access Control in Edge Computing” Concurrency and Computation: Practice and Experience 35(10): e7677. DOI: https://doi.org/10.1002/cpe.7677.
  10. [10] A. Tan, C. Dong, Y. Wang, C. Wang, and C. Xia, (2024) “Intelligent and Secure Cloud-Edge Collaborative Industrial Information Encryption Strategy Based on Credibility Assessment” Applied Sciences 14(19): 8812. DOI: https://doi.org/10.3390/app14198812.
  11. [11] J. Sun, Y. Bao, W. Qiu, R. Lu, S. Zhang, Y. Guan, and X. Cheng, (2025) “Privacy-Preserving Fine-Grained Data Sharing with Dynamic Service for the Cloud-Edge IoT” IEEE Transactions on Dependable and Secure Computing 22(2): 1329-1346. DOI: https://doi.org/10.1109/TDSC.2024.3432650.
  12. [12] C. Xie, R.-H. Shi, X. Zhang, P. Wang, and W. Guo, (2023) “Verifiable Outsourcing EMRS Scheme with Attribute-Based Encryption in Cloud-Edge Environments” Journal of Information Security and Applications 76: 103526. DOI: https://doi.org/10.1016/j.jisa.2023.103526.
  13. [13] X. Hou, L. Zhang, Q. Wu, and F. Rezaeibagha, (2023) “Collusion-Resistant Dynamic Privacy-Preserving Attribute-Access Control Scheme Based on Blockchain” Journal of King Saud University – Computer and Information Sciences 35(8): 101658. DOI: https://doi.org/10.1016/j.jksuci.2023.101658.
  14. [14] X. Zhao and Z. Huang, (2024) “Fully Outsourced and Fully Verifiable Attribute-Based Encryption for Cloud Data Sharing” Cluster Computing 27: 10437-10453. DOI: https://doi.org/10.1007/s10586-024-04423-5.
  15. [15] P. Duan, H. Gao, Y. Shen, Z. Guo, Z. Ma, T. Tian, and Y. Zhang, (2024) “Secure Collaborative EHR Sharing Using Multi-Authority Attribute-Based Proxy Re-Encryption in Web 3.0” Computer Networks 255: 110851. DOI: https://doi.org/10.1016/j.comnet.2024.110851.