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您的检索式：作者名="Guogen Wan"
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| 1 | Study on Quantum Trust Model Based on Node Trust Evaluation显示文摘Trust is the premise and foundation of secure communication,no matter in the quantum communication or classical communication.In fact,the existing quantum secure communication protocols and technologies are implicitly related to trust;or assume some trust premise in advance;or create or obtain a trust relationship.This paper studies on quantum trust model using node trust evaluation based on author’s own research achievements.We introduce the trust management into quantum communication network to build secure trusted quantum communication network based on evaluating the trust values of nodes,which are used to evaluate the reliability of each user.We put forward a scheme of quantum trust model based on node trust evaluation,and describe the thought and process of trust evaluation in detail based on the principles of quantum entanglement and quantum teleportation.We analyze the feasibility and safety of this scheme,which provides a new thinking and method for establishing a credible secure quantum communication network. | ZHANG Shibin XIE Zhihai YIN Yifen CHANG Yan SHENG Zhiwei YAN Lili WANG Haichun HAN Guihua HUANG Yuanyuan WAN Guogen | 2017 | Chinese Journal of Electronics2017，26，3： | 5 |
| 2 | RRCNN: Request Response-Based Convolutional Neural Network for ICS Network Traffic Anomaly Detection显示文摘Nowadays,industrial control system(ICS)has begun to integrate with the Internet.While the Internet has brought convenience to ICS,it has also brought severe security concerns.Traditional ICS network traffic anomaly detection methods rely on statistical features manually extracted using the experience of network security experts.They are not aimed at the original network data,nor can they capture the potential characteristics of network packets.Therefore,the following improvements were made in this study:(1)A dataset that can be used to evaluate anomaly detection algorithms is produced,which provides raw network data.(2)A request response-based convolutional neural network named RRCNN is proposed,which can be used for anomaly detection of ICS network traffic.Instead of using statistical features manually extracted by security experts,this method uses the byte sequences of the original network packets directly,which can extract potential features of the network packets in greater depth.It regards the request packet and response packet in a session as a Request-Response Pair(RRP).The feature of RRP is extracted using a one-dimensional convolutional neural network,and then the RRP is judged to be normal or abnormal based on the extracted feature.Experimental results demonstrate that this model is better than several other machine learning and neural network models,with F1,accuracy,precision,and recall above 99%. | Yan Du Shibin Zhang Guogen Wan Daohua Zhou Jiazhong Lu Yuanyuan Huang Xiaoman Cheng Yi Zhang Peilin He | 2023 | Computers, Materials & Continua2023，，6： | 0 |
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