Intrusion detection method for big data network in cigarette factory production based on blockchain technology
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.
万方数据
维普
