基于区块链技术的卷烟厂生产大数据网络入侵检测方法  

Intrusion detection method for big data network in cigarette factory production based on blockchain technology

作　　者：范玉龙 侯霄 FAN Yulong;HOU Xiao(Hongyun Honghe Tobacco(Group)Co.,Ltd.,Huize Cigarette Factory,Qujing 654200,China)

机构地区：[1]红云红河烟草(集团)有限责任公司会泽卷烟厂,云南曲靖654200

出　　处：《无线互联科技》2024年第19期115-117,共3页Wireless Internet Science and Technology

摘　　要：卷烟厂生产过程中产生的大数据网络信息繁杂,限制了传统入侵检测方法的精度。对此,文章提出了基于区块链技术的卷烟厂生产大数据网络入侵检测方法,通过区块链技术获取并简化处理网络节点信息,计算能量值、信噪比值及异常分数值,从而筛选出生产网络的异常节点;通过计算异常节点的信任值,实现对网络入侵节点的检测。试验结果表明,该方法的检测精度较高。The complex network information generated during the production process of cigarette factories limits the accuracy of traditional intrusion detection methods.In response to this,the article proposes a blockchain based method for intrusion detection in the production big data network of cigarette factories.By using blockchain technology to obtain and simplify the processing of network node information,energy values,signal-to-noise ratios,and abnormal score values are calculated to screen out abnormal nodes in the production network;Detecting network intrusion nodes by calculating the trust value of abnormal nodes.The experimental results indicate that this method has high detection accuracy.

关 键 词：区块链技术 卷烟厂 生产网络 网络入侵 入侵检测 检测方法 方法设计 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]