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 The dynamic and open environment of the Internet of Vehicles (IoV) poses substantial challenges to data security and real-time performance. Large-scale data interactions are vulnerable to eavesdropping, tampering, forgery, and replay attacks. Conventional cloud computing architectures exhibit inherent latency and cannot satisfy millisecond-level real-time requirements in IoV applications, which results in inefficient data transmission and an increased risk of traffic accidents. Therefore, balancing data security and real-time performance represents a critical bottleneck for large-scale IoV deployment. Methods An edge-cloud collaborative searchable attribute-based signcryption method is proposed for IoV applications. A multi-layer architecture is constructed, consisting of cloud servers, edge servers, and in-vehicle terminal devices. Access control is enforced through a hybrid key-policy and ciphertext-policy mechanism derived from attribute-based signcryption and a Linear Secret Sharing Scheme (LSSS). To reduce local decryption overhead, bilinear pairing operations are outsourced to edge nodes. SM9 is adopted for trapdoor generation and signature authentication. The proposed method provides data confidentiality, signature unforgeability, and trapdoor unforgeability. Results and Discussions The proposed method demonstrates superior performance in an IoV edge-cloud collaborative architecture for searchable attribute-based signcryption (Tables 1 and 4). Functional characteristics are summarized in (Table 1). (Fig. 2) illustrates the variation in total computation time as the number of attributes increases. Although the total time increases slightly, the growth rate remains low. By offloading computation-intensive tasks to edge nodes, the local computational burden on user terminals is substantially reduced. This optimization is quantified by an outsourcing efficiency exceeding 96% (Table 4, Fig. 5). Instantaneous retrieval is achieved by reducing the search complexity to O(1) through a hash-based index (Fig. 4). End-to-end search latency is maintained within an acceptable range for IoV applications (Table 6), which confirms suitability for real-time data access. As shown in (Fig. 3), with an increasing number of attributes, the ciphertext size variation of the proposed method remains the smallest among the compared schemes. Conclusions The proposed method achieves fine-grained access control, data confidentiality, data integrity, and unforgeability, while maintaining advantages in computational and communication efficiency. Through a computation offloading mechanism, the method effectively addresses resource constraints of on-board devices in 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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