Edge-Cloud Collaborative Searchable Attribute-Based Signcryption Approach for Internet of Vehicles

YU Huifang; WANG Qinggui; WANG Zihao

doi:10.11999/JEIT250750

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YU Huifang, WANG Qinggui, WANG Zihao. Edge-Cloud Collaborative Searchable Attribute-Based Signcryption Approach for Internet of Vehicles[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT250750

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YU Huifang, WANG Qinggui, WANG Zihao. Edge-Cloud Collaborative Searchable Attribute-Based Signcryption Approach for Internet of Vehicles[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT250750

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Edge-Cloud Collaborative Searchable Attribute-Based Signcryption Approach for Internet of Vehicles

doi: 10.11999/JEIT250750 cstr: 32379.14.JEIT250750

1.
School of Cyberspace Security, Xi’an University of Posts & Telecommunications, Xi’an 710121, China
2.
State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou 310058, China

Funds: The Natural Science Basis Research Projects of Shannxi Province (2025JC-YBMS-652, 2025 JC-YBMS-676), The Open Project of the State Key Laboratory of Blockchain and Data Security, Zhejiang University (A2510)

Received Date: 2025-08-07
Accepted Date: 2025-12-12
Rev Recd Date: 2025-10-31

Available Online: 2025-12-19

Abstract

Abstract

Objective Dynamic and open environment of IoV brings the challenges for data security and real-time performance. Massive data interactions are vulnerable to malicious eavesdropping, tampering, forgery and replay attacks. Traditional cloud computing has inherent high latency and fails to meet millisecond-level real-time IoV demands, this leads to inefficient data transmission and potential traffic accident. Balancing of data security and real-time performance is critical bottleneck for large-scale deployment of IoV. Methods Edge-cloud collaborative searchable attribute-based signcryption method is proposed for IoV, it establishes multi-layer architecture including the cloud servers, edge servers and in-vehicle terminal devices. Access control is enforced by hybrid key and ciphertext policy from attribute-based signcryption and LSSS. To mitigate local decryption burden, bilinear operations are outsourced to edge nodes. SM9 is employed for trapdoor generation and signature authentication. Proposed method has the confidentiality, signature unforgeability and trapdoor unforgeability. Results and Discussions Our method has the superiority in IoV edge-cloud collaborative architecture for searchable attribute-based signcryption (Tables 1 and 4). Functional characteristics are in Table 1. Figure 2 shows the change trend of total time as the number of attributes increases; total time of our method increases slightly but the growth rate is very slow; for effective outsourcing of intensive computing tasks to edge nodes, our method reduces local computing burden on user terminals. This calculation optimization is quantified by OE exceeding 96% (Table 4, Fig.5). Our method achieves an instantaneous retrieval capability by optimizing the search complexity to O(1) (Fig.4) using hash index. E2E search latency is controlled to acceptable level in IoV applications (Table 6), verifying its applicability for real-time data access. Known from Figure 3, with the increase of the number of attributes, the variation range of ciphertext size of our method is the smallest. Conclusions Our method achieves fine-grained access control, data confidentiality, integrity, and unforgeability, and it exhibits the advantages in computation and communication efficiency. By computation offloading mechanism, our method effectively addresses the resource constraints of on-board devices for dynamic, resource-sensitive and real-time IoV environments.
- Edge-Cloud Collaboration for Internet of Vehicles,
- Attribute-Based Signcryption,
- Keyword Search,
- Fine-Grained Access Control

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References(15)

References

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