计算机工程与科学2025，Vol.47Issue(4)：634-643,10.DOI:10.3969/j.issn.1007-130X.2025.04.007
面向智慧油气勘探开发系统的多维密态数据聚合技术研究与应用
Research and application of multi-dimensional encrypted data aggregation technology for smart oil and gas exploration and development system
摘要
Abstract
Industrial Internet of Things(IIoT)technologies enable intelligent oil and gas exploration and development systems to accelerate the data convergence and break through the barrier of information islands.Simultaneously,the information security protection of data confidentiality,integrity and authentication in the exploration and development process have become more and more important.Regarding this,this paper proposes a multi-dimensional dense data aggregation scheme for intelligent oil and gas exploration and development systems.The scheme combines super increasing sequence technol-ogy,modifies the homomorphic encryption algorithm,and designs random blind secret parameters.Even if the decryption key is leaked,the important data transmitted by terminal equipment will not be intercepted.The trusted center generates corresponding private keys according to the real identity of each communication entity,thus each other can flexibly negotiate the authenticated session keys,calcu-lates message authentication code based on the hash function.The control center can lightweight execute integrity verification of aggregated ciphertext sent from the data integration platform server,decrypt the aggregated value,master the average value of status parameters,and achieve real-time supervision and regulation.The security analysis and performance evaluation show the security and efficiency of the scheme in the deployment of intelligent oil and gas exploration and development systems.关键词
智慧油气勘探开发系统/同态加密/密态聚合/消息认证码/完整性验证Key words
intelligent oil and gas exploration and development system/homomorphic encryption/encrypted data aggregation/message authentication code/integrity verification分类
计算机与自动化引用本文复制引用
张晓均,张豪,李兴鹏,张经伟..面向智慧油气勘探开发系统的多维密态数据聚合技术研究与应用[J].计算机工程与科学,2025,47(4):634-643,10.基金项目
国家自然科学基金(61902327) （61902327）
中国博士后科学基金(2020M681316) （2020M681316）
四川省自然科学基金2025ZNSFSC0495) （）
