石油行业图像数据高效安全传输方法  

Efficient and secure transmission method for image data in the petroleum industry

作　　者：汤明[1] 邹露 何世明[1] 谢玉森 周越淼 陈春钱 TANG Ming;ZOU Lu;HE Shiming;XIE Yusen;ZHOU Yuemiao;CHEN Chunqian(State Key Laboratory of Oil and Gas Reservoir Geology and Exploration,Southwest Petroleum University,Chengdu 610500,Sichuan Province,P.R.China)

机构地区：[1]油气藏地质及开发工程全国重点实验室(西南石油大学),四川成都610500

出　　处：《深圳大学学报(理工版)》2025年第2期172-182,I0004-I0006,共14页Journal of Shenzhen University(Science and Engineering)

基　　金：国家自然科学基金资助项目(52374012,51904260,51774247);油气资源与探测全国重点实验室开放课题资助项目(PRP/open-2209)。

摘　　要：为解决石油行业大数据高效安全传输难题,将图像转化为三通道矩阵数据并对矩阵进行奇异值分解,综合考虑Laplace算子、灰度方差函数、离散余弦变换系数、图像相关系数、熵函数、图像结构相似度和图像信噪比等7个评价因素,利用熵权逼近理想解排序(technique for order preference by similarity to an ideal solution,TOPSIS)法对分解后的奇异值进行优选,在确保数据真实性的前提下用少量奇异值表征原始图像,进行图像压缩,降低数据大小,提高传输效率;提出多通道猫脸分割加密方法,分别对每个颜色通道的图像进行随机分割、随机加密和随机排序,解决了传统猫脸加密算法颜色通道线性相关度高,整体置乱度低的问题.结果表明:改进奇异值压缩技术在保证图像清晰的情况下仅利用15%的奇异值数据完成对图像的压缩,最大图像压缩比可达4.43,平均压缩后所占用的存储空间仅为原空间的26.29%,数据传输控制协议通信平均传输效率提高86.39%.在加密图像达到0相关的前提下,多通道猫脸分割加密算法加密图像在像素点处三通道颜色值完全不同,新方法颜色通道相关系数分别为0.20、0.22和0.25,对比传统猫脸加密方法,分别降低0.78、0.75和0.71.新方法加密效果好、难破解,可为石油行业数字化转型提供理论和技术支撑.To address the challenge of efficient and secure transmission of big data in the petroleum industry,this study converts images into three-channel matrix data and performs singular value decomposition(SVD)on these matrices.The method comprehensively considers seven evaluation factors:Laplace operator,grayscale variance function,discrete cosine transform coefficients,image correlation coefficient,entropy function,structural similarity index,and image signal-to-noise ratio.Using the entropy-weighted technique for order preference by similarity to an ideal solution(TOPSIS)method,the decomposed singular values are optimized.A small number of singular values are used to represent the original image,ensuring data authenticity while achieving image compression to reduce data size,and improving transmission efficiency.Additionally,a multi-channel cat face segmentation encryption method is proposed,which performs random segmentation,random encryption,and random shuffling on each color channel of the image separately.This approach addresses limitations in traditional cat face encryption algorithms,such as high linear correlation among color channels and low overall scrambling.Results indicate that the improved singular value compression technique achieves image compression using only 15%of the singular value data while maintaining image clarity.The maximum image compression ratio can reach 4.36,with the average storage space occupied after compression being only 26.29%of the original space.The transmission efficiency in transmission control protocol(TCP)communication increases by an average of 86.39%.Under the condition that the encrypted image achieves zero correlation,the multi-channel cat face segmentation encryption method ensures that pixel values in the encrypted image are completely different across the three color channels,with correlation coefficients of 0.20,0.22,and 0.25 respectively,reducing the correlation by 0.78,0.75,and 0.71 compared to traditional cat face encryption methods.This highlights enhanced encrypt

关 键 词：石油天然气工业 图像数据 改进奇异值压缩 猫脸变换 熵权TOPSIS法 传输控制协议 数据安全 

分 类 号：TE19[石油与天然气工程—油气勘探] TE46