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作 者:潘伟 李新建[1] 陈飞 PAN Wei;LI Xinjian;CHEN Fei(China Tobacco Hubei Industrial LLC,Wuhan 430030,China)
机构地区:[1]湖北中烟工业有限责任公司,湖北武汉430030
出 处:《电子设计工程》2022年第19期84-87,92,共5页Electronic Design Engineering
摘 要:目前研究的远程通信数据防篡改检测方法对于篡改数据的检测能力较差,导致防篡改成功率较低,检测耗时过长。为了解决上述问题,研究了一种新的工业互联网中远程通信数据防篡改检测方法,以篡改数据和未被篡改数据的特征表现存在差异性这一原理为基础,设计分布式特征提取模块,将检测区域分为多个模块区域,构建远程通信数据防篡改检测的网格分布式特征提取模型,采集数据输出综合特征向量等,分析信道的数据传输状态。基于LPP算法进行特征匹配,根据匹配结果判断是否发生数据篡改现象。针对检测的数据传输信道进行衰落判断,通过信道的衰落状态确定信道的使用状态。实验结果表明,所设计方法能够较好地提高检测成功率,降低检测耗时。The current research on anti-tampering detection methods for remote communication data in the industrial Internet has poor detection capabilities for tampered data,resulting in a low success rate of anti-tampering and excessive detection time. In order to solve the above problems,a new tamper proof detection method for telecommunication data in industrial Internet is studied. Based on the principle that there are differences in the feature performance of tampered data and non tampered data,a distributed feature extraction module is designed,and the detection area is divided into multiple module areas,Build a grid distributed feature extraction model for remote communication data tamper prevention detection,collect data,output comprehensive feature vectors,etc.,analyze the data transmission state of the channel,conduct feature matching based on LPP algorithm,judge whether data tampering occurs according to the matching results,and judge the fading of the detected data transmission channel. The use state of the channel is determined by the fading state of the channel. The experimental results show that the designed method can improve the detection success rate and reduce the detection time.
关 键 词:工业互联网 远程通信 通信数据 防篡改检测 检测方法
分 类 号:TN-9[电子电信] TP32[自动化与计算机技术—计算机系统结构]
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