J. Interconnect. Networks最新文献_第4页

Computational Intelligence Methods for Smart Connectivity in IoT 物联网智能连接的计算智能方法

J. Interconnect. Networks Pub Date : 2022-04-12 DOI: 10.1142/s0219265922020017

Alireza Souri, Mu-Yen Chen, N. J. Navimipour

引用次数: 2

Power Monitoring Image Encryption Transmission Method Based on Internet of Things 基于物联网的电力监控图像加密传输方法

J. Interconnect. Networks Pub Date : 2022-04-12 DOI: 10.1142/s0219265921450146

Pengfei Wang, M. Tang, Haodong Zou

{"title":"Power Monitoring Image Encryption Transmission Method Based on Internet of Things","authors":"Pengfei Wang, M. Tang, Haodong Zou","doi":"10.1142/s0219265921450146","DOIUrl":"https://doi.org/10.1142/s0219265921450146","url":null,"abstract":"In order to be able to achieve state maintenance, keep historical data of the operation of each system, improve the precision of computer room management, improve work efficiency, reduce the work intensity of computer room managers, and reduce manual errors and potential accidents, this paper combines the Internet of Things technology to construct an image encryption transmission method that can be used for power monitoring. Moreover, this paper constructs a power system intelligent monitoring system based on the Internet of Things, and encrypts relevant data. In addition, this paper proposes a surveillance video encryption algorithm based on foreground and background separation. This video encryption algorithm is different from ordinary video encryption methods. It fully taps the characteristics of the surveillance video taken by a still camera. According to the experimental research results, it can be seen that the power monitoring image encryption transmission system based on the Internet of Things constructed in this paper has good performance in power monitoring image processing, image encryption, image transmission, etc. The evaluation results of the three functional parameters are all above 80%, which have great advantages compared with traditional algorithms. Therefore, the method proposed in this paper has good practical effects.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131488275","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

Internet of Things-Based Risk Warning System for Distribution Grid Operation State 基于物联网的配电网运行状态风险预警系统

J. Interconnect. Networks Pub Date : 2022-04-12 DOI: 10.1142/s0219265921450079

Jinding He, Baorui Cai, Wenlin Yan, Bin Zhang, Rongkui Zhang

{"title":"Internet of Things-Based Risk Warning System for Distribution Grid Operation State","authors":"Jinding He, Baorui Cai, Wenlin Yan, Bin Zhang, Rongkui Zhang","doi":"10.1142/s0219265921450079","DOIUrl":"https://doi.org/10.1142/s0219265921450079","url":null,"abstract":"The distribution network is the most terminal part of the power system. The safety and stability of its operation directly affect the power supply reliability of the power system. The operation status of the equipment has always been the focus of researchers. Once a problem occurs in the operation of the distribution network, it will have a significant impact on public safety and social development. Therefore, real-time monitoring of the operation status of the distribution network is very important. In order to meet the needs of real-time intelligent detection of the operation status of the distribution network, this paper introduces a risk warning system based on the Internet of Things for the operation status of the distribution network. This paper firstly analyzes the weight of risk indicators to determine the detection indicators of the risk early warning system, and secondly, through the analysis of the risk early warning indicator system of the distribution network operation status and the establishment of the risk early warning evaluation model, to determine the operation status of the distribution network The following risk early warning detection needs, and finally the Internet of Things technology is used in the design of the risk early warning system of the operating state of the distribution network, and then the system is tested. The test shows that the real-time detection data error of the system is less than 5%.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127614990","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

Personalized Recommendation Method of Entrepreneurial Service Information Based on Blockchain 基于区块链的创业服务信息个性化推荐方法

J. Interconnect. Networks Pub Date : 2022-04-09 DOI: 10.1142/s0219265921450109

Shuzhe Guo, Xiaolei Zhu, Yang Liu, Jianwei Han

引用次数: 1

Intrusion Detection System Model for IoT Networks Using Ensemble Learning 基于集成学习的物联网网络入侵检测系统模型

J. Interconnect. Networks Pub Date : 2022-04-09 DOI: 10.1142/s0219265921450080

Umaira Ahad, Yashwant Singh, Pooja Anand, Zakir Ahmad Sheikh, Pradeep Kumar Singh

{"title":"Intrusion Detection System Model for IoT Networks Using Ensemble Learning","authors":"Umaira Ahad, Yashwant Singh, Pooja Anand, Zakir Ahmad Sheikh, Pradeep Kumar Singh","doi":"10.1142/s0219265921450080","DOIUrl":"https://doi.org/10.1142/s0219265921450080","url":null,"abstract":"The capacity to identify breaches and malicious activity inside the Internet of Things (IoT) networks is important for network infrastructure resilience as the dependence on IoT devices and services grows. Intrusion detection systems (IDS) are basic components of network security. IDSs monitor and analyze the activity of a system in a network to identify intrusions. Existing intrusion detection systems (IDS) gather and utilize large amounts of data with irrelevant, unnecessary, and unsuitable characteristics, resulting in long detection times and low accuracy. In this paper, we present an IDS model based on a Random Forest (RF) classifier. NSL-KDD dataset is used to test the performance of the model and the satisfying performance is obtained in terms of accuracy, detection rate, and false alarm rate. The proposed model has attained an average accuracy of 99.3% and 98% for binary classification and multiclass classification, respectively. To demonstrate the efficacy of the suggested model, its accuracy was compared with some existing approaches that utilize other models such as AIDS, ELM and PCA, MapReduce-based hybrid architecture, and DRNN.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132464456","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

Effective Integration of ZigBee Communication Technology and Internet of Things Technology ZigBee通信技术与物联网技术的有效融合

J. Interconnect. Networks Pub Date : 2022-04-09 DOI: 10.1142/s0219265921450110

Lili Zhang

{"title":"Effective Integration of ZigBee Communication Technology and Internet of Things Technology","authors":"Lili Zhang","doi":"10.1142/s0219265921450110","DOIUrl":"https://doi.org/10.1142/s0219265921450110","url":null,"abstract":"ZigBee technology is a representative standard of wireless communication technology with very low complexity, short distance, low rate, low power consumption and low cost. Internet of things technology is the development trend. In order to achieve the effective integration of ZigBee communication technology and Internet of things technology, improve the real-time transmission efficiency and form an exclusive communication system. This paper carries out wireless voice communication through the integration of ZigBee technology and Internet of things technology, and puts forward the research topic of wireless voice communication. The ZigBee technology and the Internet of things are organically integrated through the clustering algorithm, the shortcomings of the Internet of things technology are solved by using the advantages of ZigBee, the relevant model is constructed, the designed relevant algorithms are grouped, and the efficiency of the fused algorithm is compared with the algorithm before the fusion. The experimental results show that in the packet delivery rate experiment, the delivery rate of the algorithm is very high, and the speed can reach 97% at 20m/s.At the same time, the experimental results also show that the control overhead of the AODV protocol is significantly greater than that of the AODVjr protocol, and the AODV protocol can save at least 16% of the cost compared with the AODVjr protocol. And when the speed increases to a certain extent, the difference in control overhead between the two will become larger and larger.","PeriodicalId":153590,"journal":{"name":"J. Interconnect. Networks","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116901770","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: 3

Reliability of Divide-and-Swap Cube Based on r-Component Connectivity and Diagnosability 基于r-组件连通性和可诊断性的分交换立方体可靠性

J. Interconnect. Networks Pub Date : 2022-03-01 DOI: 10.1142/s0219265921420214

Qianru Zhou, Shuming Zhou, Xiaoqing Liu, Zhengqi Yu

引用次数: 1

The Arc-Connectivity of 3-Regular Digraphs with Two Orbits 具有两个轨道的3正则有向图的弧连通性

J. Interconnect. Networks Pub Date : 2022-02-25 DOI: 10.1142/s0219265921420238

Xing Chen, Dongyang Xie, Yongsheng Jiang, Na-qi Fan

引用次数: 0

Minimum Stretch Spanning Tree Problem in Operations on Trees 树运算中的最小伸缩生成树问题

J. Interconnect. Networks Pub Date : 2022-02-25 DOI: 10.1142/s0219265921500286

Toru Araki, Eito Hasegawa, Shion Kato

引用次数: 0

The Upper and Forcing Connected Outer Connected Geodetic Numbers of a Graph 图的上连通和强迫连通外连通大地大地数

J. Interconnect. Networks Pub Date : 2022-02-25 DOI: 10.1142/s0219265921420226

K. Ganesamoorthy, D. Jayanthi

引用次数: 1