计算机技术与发展2026，Vol.36Issue(4)：16-23,8.DOI:10.20165/j.cnki.ISSN1673-629X.2025.0329
面向物联网自适应数据压缩算法降传输量研究
Research on Transmission Volume Reduction of Adaptive Data Compression Algorithm for IoT
摘要
Abstract
The growth in the volume and types of Internet of Things(IoT)data presents significant security challenges,as traditional security measures struggle to meet the demands.We propose a privacy-preserving framework for IoT big data analytics that integrates federated learning with lightweight cryptography techniques.By employing a novel aggregation algorithm,adaptive learning rates,and a hierarchical architecture,the framework enhances the privacy and efficiency of big data analytics;it provides lightweight encryption schemes to reduce computational load and energy consumption;it designs the SEPP-IoT communication protocol to address challenges in federated learning;it proposes an adaptive data compression algorithm to reduce communication overhead;it integrates multiple mechanisms to enhance system fault tolerance and anti-interference capabilities;and it introduces a trust management system to evaluate the credibility of IoT nodes.Experimental results demonstrate that the proposed method outperforms existing approaches in terms of model accuracy,communication overhead,resource utilization,fault tolerance,and privacy protection,achieving higher detection rates against IoT attacks.However,the study has limitations.In the future,studies can be conducted in areas such as the application of machine learning in trust management and fault detection,enhancing privacy protection without reducing model performance,and verifying the fea-sibility of large-scale complex networks.关键词
物联网/联邦学习/轻量级密码学/隐私保护/自适应数据压缩/容错Key words
internet of things/federated learning/lightweight cryptography/privacy protection/adaptive data compression/fault-tolerant分类
信息技术与安全科学引用本文复制引用
张庆庆..面向物联网自适应数据压缩算法降传输量研究[J].计算机技术与发展,2026,36(4):16-23,8.基金项目
"十四.五"国家重点研发计划项目(2023YFC3008903,2023YFC3012105) （2023YFC3008903,2023YFC3012105）
陕西省创新能力支撑计划项目(2024RS-CXTD-44) （2024RS-CXTD-44）
天地科技股份有限公司科技创新创业资金面上项目(2024-TD-MS005) （2024-TD-MS005）
