云辅助物联网环境下可验证的安全图像检索  

Verifiable secure image retrieval for cloud-assisted IoT environments

作　　者：郭佳琦 马智 王文胜 田聪[1] 段振华[1] GUO Jiaqi;MA Zhi;WANG Wensheng;TIAN Cong;DUAN Zhenhua(School of Computer Science and Technology,Xidian University,Xi’an 710071,China)

机构地区：[1]西安电子科技大学计算机科学与技术学院,陕西西安710071

出　　处：《通信学报》2025年第3期28-44,共17页Journal on Communications

基　　金：国家重点研发计划基金资助项目(No.2018AAA0103202);国家自然科学基金资助项目(No.62402372,No.62202371,No.62192730,No.62192734)。

摘　　要：针对现有的云辅助物联网环境中图像检索精度和效率低、服务器潜在恶意性问题,提出一种可验证的安全图像检索方案。采用矩阵形式的索引和查询,结合基于容错学习的改进安全k近邻算法加密特征矩阵,提升索引和查询安全性。利用区块链技术,并结合四叉默克哈希树和高效短签名,实现搜索结果的可验证性。安全性和性能分析表明,所提方案在保证索引和查询安全性的同时,显著降低了索引和查询的加密计算复杂度及密钥存储开销。所提方案在提高图像检索精度和安全性的同时,优化了计算与存储资源,适用于云辅助物联网环境。To address the challenges of low accuracy and efficiency in image retrieval,as well as the potential malicious behavior of servers in cloud-assisted Internet of things(IoT)environments,a verifiable and secure image retrieval scheme was proposed.A matrix-based approach was employed for indexing and querying,and the feature matrix was encrypted using an enhanced secure k-nearest neighbor(kNN)algorithm based on the learning with errors(LWE),ensuring improved security in indexing and querying.Blockchain technology was integrated with the quad Merkle Hash tree and efficient short signature to enable the verifiability of search results.Security and performance analyses demonstrated that the security of indexing and querying was ensured by the proposed scheme while the encryption computational complexity and key storage overhead were reduced.The proposed scheme improves image retrieval accuracy and security while optimizing computational and storage resources,making it suitable for cloud-assisted IoT environments.

关 键 词：图像安全检索 安全k近邻算法 容错学习问题 物联网 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]