2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)最新文献_第5页

Research on Data Security Analysis and Label Recognition Technology Based on Big Data Business Scenario 基于大数据业务场景的数据安全分析与标签识别技术研究

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152308

Donglan Liu, Deqiu Kong, Xin Liu, Lei Ma, Yingxian Chang, Hao Zhang, Rui Wang, Hao Yu

{"title":"Research on Data Security Analysis and Label Recognition Technology Based on Big Data Business Scenario","authors":"Donglan Liu, Deqiu Kong, Xin Liu, Lei Ma, Yingxian Chang, Hao Zhang, Rui Wang, Hao Yu","doi":"10.1109/ICEIEC49280.2020.9152308","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152308","url":null,"abstract":"Data is the inevitable product of social high informatization, and its security risk is an indispensable part of information security. In the case of accelerating the construction of ubiquitous power Internet of things, this paper deeply studies the data security analysis and label recognition technology based on big data business scenarios. Based on the process of active and passive discovery, a complete catalog of data assets is established by means of database scanning, server scanning, terminal scanning, terminal monitoring, network monitoring and database access monitoring. The threat tree is used to model various threats to data security. On the basis of data asset cataloging and threat modeling, this paper studies the data security risk analysis and quantification method by comprehensively judging the threats faced by the business system, as well as the vulnerability and asset value of the system itself. Based on the heuristic integrated learning strategy of automatic semantic tagging for massive network resources, metadata is extracted through active and passive collection, and the semantic relationship between tags is extracted and processed by natural language processing and machine learning technology. Finally, automatic labels are generated through analysis capabilities such as business correlation analysis, organizational correlation analysis, data distribution analysis, data classification and grade.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130308742","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

A Modified SLM Scheme for PAPR Reduction in OFDM Systems OFDM系统中减小PAPR的改进SLM方案

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152350

C. C. Hu, Lingyin Wang, Zhuang Zhou

引用次数: 4

An Adaptive Weighted Bagging Ensemble Learning Model for Zombie Enterprise Identification 僵尸企业识别的自适应加权Bagging集成学习模型

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152215

Xiaorui Dong, Hongke Duan, Tianshuo Wang, Qingqing Liu

引用次数: 1

Pattern Synthesis of Antenna Arrays Using Dynamic Cooperative Grey Wolf Optimizer Algorithm 基于动态协同灰狼优化算法的天线阵方向图综合

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152282

Yan Liu, Yaming Zhang, S. Gao

引用次数: 2

Analyzing and Improving the Network Flow Model in Hex Game System 十六进制博弈系统中网络流模型的分析与改进

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152344

Yuxing Wang, Wenjing Yue, Nianqin Fu, Yu Cao, Zhi Chen

{"title":"Analyzing and Improving the Network Flow Model in Hex Game System","authors":"Yuxing Wang, Wenjing Yue, Nianqin Fu, Yu Cao, Zhi Chen","doi":"10.1109/ICEIEC49280.2020.9152344","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152344","url":null,"abstract":"The key problem in determining Hex game ability is to design a satisfactory evaluation function. Since the network flow model can reflect the connectivity of the system, and Hex is a connectivity game, some previous researchers proposed the idea of applying the network flow model to Hex. However, in the actual game, it was found that the game ability was poor, and the satisfactory results were often not given. This paper, first of all, analyzes the shortcomings of the network flow model applied to Hex and summarizes three main reasons for its poor evaluation ability. In order to improve the game ability of the system, this paper proposes a multi-level priority queue evaluation model. The main idea is as follows: firstly, according to the status around the stones, the stones are divided into five kinds of priority and put into the corresponding priority queue. Then the stones of the same priority are sorted by the priority queue custom sorting function. Finally, the best decision is screened by the select function. The experimental and evaluation results show that the game ability of the multi-level priority queue model is significantly better than that of the network flow model. Besides, the new evaluation model provides a new idea for the design of the evaluation function of Hex.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113998745","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

IoT Based Optimal UAV Tracking Method Considering Noise and Cyber Attacks 考虑噪声和网络攻击的基于物联网的无人机最优跟踪方法

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152332

M. Rana, A. Abdelhadi

引用次数: 0

Graph Publishing with Local Differential Privacy for Hierarchical Social Networks 层次社会网络的局部差分隐私图发布

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152325

Jing-Yu Yang, Xuebin Ma, Xiangyu Bai, L. Cui

引用次数: 4

Research on Network Public Opinion Analysis and Monitor Method Based on Big Data Technology 基于大数据技术的网络舆情分析与监测方法研究

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152232

Donglan Liu, Hao Zhang, Hao Yu, Xiaohong Zhao, Wenting Wang, Xin Liu, Lei Ma

{"title":"Research on Network Public Opinion Analysis and Monitor Method Based on Big Data Technology","authors":"Donglan Liu, Hao Zhang, Hao Yu, Xiaohong Zhao, Wenting Wang, Xin Liu, Lei Ma","doi":"10.1109/ICEIEC49280.2020.9152232","DOIUrl":"https://doi.org/10.1109/ICEIEC49280.2020.9152232","url":null,"abstract":"At present, the use of public opinion analysis method to explore the feelings of users in comments has become one of the hot research topics, and has been applied in many business and public management fields, such as movie box office, stock trend prediction, public opinion monitoring in power sector, etc. Data mining and analysis based on big data technology is increasingly demanding, and the logical relationship of data processing is increasingly complex. How to analyze and mine network public opinion information in heterogeneous data environment has become a big challenge in data management, application and value mining. This paper summarizes and compares several mainstream public opinion analysis methods and their applications, including unsupervised public opinion analysis method and supervised public opinion analysis method, and introduces the application scenarios related to public opinion analysis. A network public opinion analysis system model based on big data technology is designed to provide important data support for network public opinion monitoring.","PeriodicalId":352285,"journal":{"name":"2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133352225","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: 7

IEEE 802.11ah: Future Research Challenges and Opportunities IEEE 802.11ah:未来研究的挑战和机遇

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152300

Tengku Ahmad Riza, D. Gunawan

引用次数: 2

IEEE 802.11ah Network Challenges Supports Covid-19 Prevention Team IEEE 802.11ah网络挑战支持Covid-19预防团队

2020 IEEE 10th International Conference on Electronics Information and Emergency Communication (ICEIEC) Pub Date : 2020-07-01 DOI: 10.1109/ICEIEC49280.2020.9152346

Tengku Ahmad Riza, D. Gunawan

引用次数: 5