Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research最新文献_第2页

Research on Construction Method of Power Grid Topology Integration Based on IEC 61970 CIM 基于IEC 61970 CIM的电网拓扑集成构建方法研究

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411159

Jiran Zhu, Peng Liu, Guoqing Wang, Yiming Lu, Di Zhang, Xianguo Kang, Liming Wang, Sumei Guo

引用次数: 0

Design and Implementation of Grain Traceability Code Coding Scheme 粮食溯源码编码方案的设计与实现

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411018

Miaolei Deng, Pan Feng

引用次数: 0

Staging Blockchain Technology In The Customer's Journey Through Service Design: A Bike-sharing Case Study To Improve Quality And Trust Perception 通过服务设计将区块链技术应用于客户的旅程:以共享单车为例，提高质量和信任感

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411161

Evelyn Durugy, Oussama Darouichi, E. Fragnière

引用次数: 4

Metric Learning with Neural Network for Modbus/TCP Anomaly Detection 基于神经网络度量学习的Modbus/TCP异常检测

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411160

Haicheng Qu, Jianzhong Zhou, Jitao Qin

{"title":"Metric Learning with Neural Network for Modbus/TCP Anomaly Detection","authors":"Haicheng Qu, Jianzhong Zhou, Jitao Qin","doi":"10.1145/3411016.3411160","DOIUrl":"https://doi.org/10.1145/3411016.3411160","url":null,"abstract":"In cyber security field, anomaly detection is triggered when detected network data traffic behaves obviously differently from normal data traffic. Traditional approaches typically create or define the normal pattern for the data and compare the normal pattern with the detected object. When a significantly different object appears, it is regarded as abnormal data. This paper proposes a novel neural network structure for anomaly detection, called a metric learning network, which aims to directly learn the differences between abnormal and normal data rather than set up a normal pattern. The network comprises an auto-encoder, which is used to encode the abnormal and normal data, and a metric learning component, which is designed to understand the difference between abnormal and normal data via a comparison approach. A deviation score is produced by the metric learning component to recognize the detected object. Research based on the Modbus/Transmission Control Protocol (TCP) network demonstrates that this approach can not only learn the difference between normal data and outliers, but is suitable for anomaly detection tasks. Our method has greater overall detection rates than a baseline model.","PeriodicalId":251897,"journal":{"name":"Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130491836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Relativity-Driven Optimization for Test Schedule of Spaceflight Products at Launch Site 航天产品发射场试验计划的相对论驱动优化

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411158

Litian Xiao, Nan Xiao, Mengyuan Li, Shanshan Xie

引用次数: 0

Focal Loss Improves the Model Performance on Multi-Label Image Classifications with Imbalanced Data 焦损提高了模型在数据不平衡的多标签图像分类中的性能

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411020

Jianxiang Dong

引用次数: 2

A color image edge detection method based on entropy operator 基于熵算子的彩色图像边缘检测方法

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411022

Wang Na

引用次数: 0

Convolutional Network for Image Steganography With Redundant Embedding 基于冗余嵌入的图像隐写卷积网络

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411026

Naixi Liu, Jingcai Liu, Linming Gong, Xingxing Jia, Daoshun Wang

引用次数: 0

Research on network test technology of localized operating system 本地化操作系统网络测试技术研究

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411024

Yingbei Niu

引用次数: 0

A Performance Analysis of Container Cluster Networking Alternatives 容器集群网络替代方案的性能分析

Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research Pub Date : 2020-06-19 DOI: 10.1145/3411016.3411019

Gulsum Atici, Pinar Sarisaray Boluk

{"title":"A Performance Analysis of Container Cluster Networking Alternatives","authors":"Gulsum Atici, Pinar Sarisaray Boluk","doi":"10.1145/3411016.3411019","DOIUrl":"https://doi.org/10.1145/3411016.3411019","url":null,"abstract":"The use of containers in the informatics industry is increasing rapidly day by day. Although containers have many advantages, such as flexibility, readiness, easy configurability, scalability and low resource consumption, previous researches showed that there are momentous decrements in network performance in containerized cluster environments. Yielded packet sizes and data transfer methods play important roles in the network performance for the networking solutions used in container clusters. As different applications apply different packet sizes and transfer methods, it is of the essence to find and use the best performing networking solution according to application needs. Hence, it is quite important to identify the most convenient container networking solution, especially in production environments. This research analyzed the throughput and latency at varying message sizes on bulk and HTTP-like data transfer methods for container cluster networking solutions, which are Libnetwork, Flannel, Calico, Weave and Open Virtual Networking for Open vSwitch. Furthermore, it compared the performance of cluster networking solutions with a native host. As a result of the experiments, Open Virtual Networking for Open vSwitch and Calico were found to be the most adequate solutions for production environments with the highest throughput and minimum latency values depending on selected message sizes and transfer methods. In addition, a bare-metal host generally outperforms all the container networking solutions except HTTP-like transfer throughput results at a large message size. Hence, this study also demonstrates the offloading impact in container networking solutions.","PeriodicalId":251897,"journal":{"name":"Proceedings of the 2nd International Conference on Industrial Control Network And System Engineering Research","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122213755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0