Road side units (RSUs) can act as fog nodes to perform data aggregation at the edge of network, which can reduce communication overhead and improve the utilization of network resources. However, because the RSU is public infrastructure, this feature may bring data security and privacy risks in data aggregation. In this paper, we propose a secure multi-subinterval data aggregation scheme, named SMDA, with interval privacy preservation for vehicle sensing systems. Specifically, our scheme combines the 1-R encoding theory and proxy re-encryption to protect interval privacy, this can ensure that the interval information is only known by the data center, and the RSU can classify the encrypted data without knowing the plaintext of the data and interval information. Meanwhile, our scheme employs the Paillier homomorphic encryption to accomplish data aggregation at the RSU, and the Identity-based batch authentication technology to solve authentication and data integrity. Finally, the security analysis and performance evaluations illustrate the safety and efficiency of our scheme.

中文翻译：

---

用于车辆传感系统的具有区间隐私保护的安全多子区间数据聚合方案

路边单元（RSU）可以作为雾节点在网络边缘进行数据聚合，可以减少通信开销，提高网络资源的利用率。但是，由于 RSU 是公共基础设施，该特性可能会在数据聚合中带来数据安全和隐私风险。在本文中，我们提出了一种安全的多子区间数据聚合方案，名为 SMDA，具有用于车辆传感系统的区间隐私保护。具体来说，我们的方案结合了1-R编码理论和代理重加密保护区间隐私，这样可以保证区间信息只有数据中心知道，RSU可以在不知道数据明文和区间信息的情况下对加密数据进行分类。同时，我们的方案采用Paillier同态加密在RSU完成数据聚合，采用基于身份的批量认证技术解决认证和数据完整性问题。最后，安全分析和性能评估说明了我们方案的安全性和效率。