通信学报2025，Vol.46Issue(3)：28-44,17.DOI:10.11959/j.issn.1000-436x.2025050
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
摘要
Abstract
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 en-crypted 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 complex-ity 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Key words
secure image retrieval/secure kNN algorithm/LWE problem/IoT分类
信息技术与安全科学引用本文复制引用
郭佳琦,马智,王文胜,田聪,段振华..云辅助物联网环境下可验证的安全图像检索[J].通信学报,2025,46(3):28-44,17.基金项目
国家重点研发计划基金资助项目(No.2018AAA0103202) （No.2018AAA0103202）
国家自然科学基金资助项目(No.62402372,No.62202371,No.62192730,No.62192734) The National Key Research and Development Program of China(No.2018AAA0103202),The National Natural Science Foundation of China(No.62402372,No.62202371,No.62192730,No.62192734) （No.62402372,No.62202371,No.62192730,No.62192734）
