Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00027
Nianbin Wan, Yuliang Liu, Weidong Xiao
With the widespread application of mobile internet 5G and blockchain technology, the research and application of blockchain big data analysis and mining has been paid more and more attention by enterprises, universities and research institutions. The use of MapReduce technology to analyze and explore financial transaction data such as banking, insurance, securities, funds, futures and foreign exchange has strong application requirements and academic research significance. This paper first analyzes the characteristics of MapReduce and technology and financial transaction, and then introduces the related work of MapReduce and financial transaction. Moreover, through analysis and comparison of MapReduce and financial transaction technologies, it discusses the financial data transaction method of MapReduce technology. Finally, from the perspective of new technologies, this paper also puts forward some valuable prospects and suggestions for the sustainable development of MapReduce technology in financial transaction methods.
{"title":"A Financial Transaction Methods Based on MapReduce Technology and Blockchain","authors":"Nianbin Wan, Yuliang Liu, Weidong Xiao","doi":"10.1109/SmartBlock52591.2020.00027","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00027","url":null,"abstract":"With the widespread application of mobile internet 5G and blockchain technology, the research and application of blockchain big data analysis and mining has been paid more and more attention by enterprises, universities and research institutions. The use of MapReduce technology to analyze and explore financial transaction data such as banking, insurance, securities, funds, futures and foreign exchange has strong application requirements and academic research significance. This paper first analyzes the characteristics of MapReduce and technology and financial transaction, and then introduces the related work of MapReduce and financial transaction. Moreover, through analysis and comparison of MapReduce and financial transaction technologies, it discusses the financial data transaction method of MapReduce technology. Finally, from the perspective of new technologies, this paper also puts forward some valuable prospects and suggestions for the sustainable development of MapReduce technology in financial transaction methods.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114954506","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}
Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00008
B. Thuraisingham
Blockchain technologies have been very effective in processing distributed transactions securely. They have many applications including in handling bitcoin cryptocurrencies and smart contracts. More recently the use of blockchain has been explored for data science applications. This paper examines blockchain technologies and discusses their applications in data science and cyber security.
{"title":"Blockchain Technologies and Their Applications in Data Science and Cyber Security","authors":"B. Thuraisingham","doi":"10.1109/SmartBlock52591.2020.00008","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00008","url":null,"abstract":"Blockchain technologies have been very effective in processing distributed transactions securely. They have many applications including in handling bitcoin cryptocurrencies and smart contracts. More recently the use of blockchain has been explored for data science applications. This paper examines blockchain technologies and discusses their applications in data science and cyber security.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123707199","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}
Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00019
Mingli Shang, Hui Sun
Artificial intelligence (AI) technology is developing rapidly with the continuous improvement of the level of information and scientific technology, which has had a profound impact on the entire society. The arrival of the AI era has had a huge impact on the development of technology and business and the entire society. Besides, the blockchain technology has been effectively protecting the legal rights and creative enthusiasm of original musical creators. The business model of the music industry has also changed accordingly. Through AI technology, the music industry has been upgraded and transformed and its traditional business model has been changed.
{"title":"Study on the New Models of Music Industry in the Era of AI and Blockchain","authors":"Mingli Shang, Hui Sun","doi":"10.1109/SmartBlock52591.2020.00019","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00019","url":null,"abstract":"Artificial intelligence (AI) technology is developing rapidly with the continuous improvement of the level of information and scientific technology, which has had a profound impact on the entire society. The arrival of the AI era has had a huge impact on the development of technology and business and the entire society. Besides, the blockchain technology has been effectively protecting the legal rights and creative enthusiasm of original musical creators. The business model of the music industry has also changed accordingly. Through AI technology, the music industry has been upgraded and transformed and its traditional business model has been changed.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132496125","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}
Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00042
Alan Hong, Caiping Sun, Meixuan Chen
With the prevalence of digital cryptocurrency and online transactions, the amount of data carried in cyberspace has been increasing rapidly. How to ensure the security and reliability of cyberspace data is a challenging problem. Blockchain has been widely recognized as a reliable technical solution for distributed data storage and sharing, and has attracted great attention from both industry and academia. This article first provides a brief introduction to the blockchain technology and distributed database systems, with a focus on the characteristics of decentralization and traceability. Then, it surveys the state-of-the-art work on blockchain-based distributed database systems, and compares these technologies. Afterwards, the application scenarios of blockchain-based distributed database systems are discussed. Finally, some promising research directions and suggestions focused on blockchain-based data storage are presented.
{"title":"A Survey of Distributed Database Systems based on Blockchain","authors":"Alan Hong, Caiping Sun, Meixuan Chen","doi":"10.1109/SmartBlock52591.2020.00042","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00042","url":null,"abstract":"With the prevalence of digital cryptocurrency and online transactions, the amount of data carried in cyberspace has been increasing rapidly. How to ensure the security and reliability of cyberspace data is a challenging problem. Blockchain has been widely recognized as a reliable technical solution for distributed data storage and sharing, and has attracted great attention from both industry and academia. This article first provides a brief introduction to the blockchain technology and distributed database systems, with a focus on the characteristics of decentralization and traceability. Then, it surveys the state-of-the-art work on blockchain-based distributed database systems, and compares these technologies. Afterwards, the application scenarios of blockchain-based distributed database systems are discussed. Finally, some promising research directions and suggestions focused on blockchain-based data storage are presented.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123790407","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}
Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00022
Lin Chen, Xiaoyun Kuang, Aidong Xu, Yiwei Yang, Siliang Suo
With the deep integration of industrialization and informatization, the network environment is becoming more and more complex, and security is facing a huge threat. Recently, the industrial control systems pose an open trend, so the strategy of preventing external attacks through “physical isolation” does not work anymore. The security threats in the traditional IT field gradually affect the security of industrial control networks. Recently, more and more researchers apply artificial intelligence algorithms and blockchain technology to industrial control network security. This paper aims to propose a new way of thinking, starting from two levels of physical topology and time series structure for a specific industrial control system, establish a graph data structure, and then use the graph neural network (GNN) algorithm to detect abnormal nodes. We evaluate our approach through comprehensive experiments and the results are promising.
{"title":"Anomaly Detection on Time-series Logs for Industrial Network","authors":"Lin Chen, Xiaoyun Kuang, Aidong Xu, Yiwei Yang, Siliang Suo","doi":"10.1109/SmartBlock52591.2020.00022","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00022","url":null,"abstract":"With the deep integration of industrialization and informatization, the network environment is becoming more and more complex, and security is facing a huge threat. Recently, the industrial control systems pose an open trend, so the strategy of preventing external attacks through “physical isolation” does not work anymore. The security threats in the traditional IT field gradually affect the security of industrial control networks. Recently, more and more researchers apply artificial intelligence algorithms and blockchain technology to industrial control network security. This paper aims to propose a new way of thinking, starting from two levels of physical topology and time series structure for a specific industrial control system, establish a graph data structure, and then use the graph neural network (GNN) algorithm to detect abnormal nodes. We evaluate our approach through comprehensive experiments and the results are promising.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134283964","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}
Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00035
Bing Zhang
In order to improve the efficiency of music propagation, a music communication model is set based on blockchain technology. The model mainly consists of two kinds of intelligent agents: music propagation environment and music propagation intelligent agent. The attributes of music propagation intelligent agent are mainly divided into the degree of propagation willingness, the probability of propagation, the frequency of propagation and their own ranks. The attributes of music propagation environment are the participation degree of music propagation intelligent agent. The two kinds of intelligent agents realize music communication mainly according to the interactive rules of music information propagation. It is found in the study that the greater the value of music information, the more the number of music propagation agents are; the faster the speed of music information transmission among music propagation intelligent agents becomes, the greater the value of music information is and the more obviously the willingness of the propagation groups rises. In comparison with similar propagation models, the music communication model based on intelligent agent has faster transmission efficiency and higher application value.
{"title":"Simulation Analysis of Music Communication Agent model Based on Blockchain Technology","authors":"Bing Zhang","doi":"10.1109/SmartBlock52591.2020.00035","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00035","url":null,"abstract":"In order to improve the efficiency of music propagation, a music communication model is set based on blockchain technology. The model mainly consists of two kinds of intelligent agents: music propagation environment and music propagation intelligent agent. The attributes of music propagation intelligent agent are mainly divided into the degree of propagation willingness, the probability of propagation, the frequency of propagation and their own ranks. The attributes of music propagation environment are the participation degree of music propagation intelligent agent. The two kinds of intelligent agents realize music communication mainly according to the interactive rules of music information propagation. It is found in the study that the greater the value of music information, the more the number of music propagation agents are; the faster the speed of music information transmission among music propagation intelligent agents becomes, the greater the value of music information is and the more obviously the willingness of the propagation groups rises. In comparison with similar propagation models, the music communication model based on intelligent agent has faster transmission efficiency and higher application value.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132905896","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}
Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00041
Linlin Zhang, Zongpei Ma, Xiaoyu Ji, Chonggao Wang
With the development of artificial intelligence and biotechnology, people are very interested in the application of blockchain technology for some fields, such as education. Advantages of blockchain technology including decentralization, non-tampering, anonymity, traceability, etc. which provide the possibility to improve the security of the management of teaching informatization in higher education. We try to explore the application of blockchain in education to improve the practice of the system of teaching informatization management in higher education. This will be reflected in three main aspects: 1) Distributed ledger Technology: it could help the teaching informatization management system to decentralize; 2) Asymmetric encryption algorithm: it could ensure user privacy in teaching informatization management system; 3) Smart Contract: it would improve the credibility of the teaching in-formatization management system. We thought that the security of informatization storage would be ensured, the credibility of data supervision would be enhanced, the cost of management would be reduced, and the efficiency of higher education management is improved substantially if we could use the blockchain technology in the system of teaching informatization management.
{"title":"Blockchain: Application in the System of Teaching Informatization Management of Higher Education","authors":"Linlin Zhang, Zongpei Ma, Xiaoyu Ji, Chonggao Wang","doi":"10.1109/SmartBlock52591.2020.00041","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00041","url":null,"abstract":"With the development of artificial intelligence and biotechnology, people are very interested in the application of blockchain technology for some fields, such as education. Advantages of blockchain technology including decentralization, non-tampering, anonymity, traceability, etc. which provide the possibility to improve the security of the management of teaching informatization in higher education. We try to explore the application of blockchain in education to improve the practice of the system of teaching informatization management in higher education. This will be reflected in three main aspects: 1) Distributed ledger Technology: it could help the teaching informatization management system to decentralize; 2) Asymmetric encryption algorithm: it could ensure user privacy in teaching informatization management system; 3) Smart Contract: it would improve the credibility of the teaching in-formatization management system. We thought that the security of informatization storage would be ensured, the credibility of data supervision would be enhanced, the cost of management would be reduced, and the efficiency of higher education management is improved substantially if we could use the blockchain technology in the system of teaching informatization management.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123458486","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}
Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00011
Lin Chen, Huahui Lv, Kai Fan, Hang Yang, Xiaoyun Kuang, Aidong Xu, Yiwei Yang
Contemporarily, two emerging techniques, blockchain, and machine learning are driving dramatic rapid growth in the field of network security. This paper describes a literature review of machine learning approaches for network security analytics and summarizes some applications of blockchain in the field of network security. We first illustrate three types of network security data, including network traffic, software binary, and security logs. Then we discuss the application of machine learning and deep learning approaches to analyze these data. We cover a broad array of attack types, including malware, spam, insider threats, network intrusions. We also summarize some applications and potential development direction of blockchain technology.
{"title":"A Survey: Machine Learning Based Security Analytics Approaches and Applications of Blockchain in Network Security","authors":"Lin Chen, Huahui Lv, Kai Fan, Hang Yang, Xiaoyun Kuang, Aidong Xu, Yiwei Yang","doi":"10.1109/SmartBlock52591.2020.00011","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00011","url":null,"abstract":"Contemporarily, two emerging techniques, blockchain, and machine learning are driving dramatic rapid growth in the field of network security. This paper describes a literature review of machine learning approaches for network security analytics and summarizes some applications of blockchain in the field of network security. We first illustrate three types of network security data, including network traffic, software binary, and security logs. Then we discuss the application of machine learning and deep learning approaches to analyze these data. We cover a broad array of attack types, including malware, spam, insider threats, network intrusions. We also summarize some applications and potential development direction of blockchain technology.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125764778","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}
In the power room scheduling automation scenario, efficient and intelligent asset management is directly related to the reliable operation of the system and cost savings. Aiming at the problems of low reliability and high resource idle rate in the dispatching automation of power equipment rooms, this paper proposes a full life cycle monitoring system for automated assets based on RFID radio frequency. The developed system leverages RFID positioning technology and RFID cabinet U grid positioning technology to realize the automation of data acquisition and paperless. Meanwhile, with the big data technology, the whole monitoring and state tracking in the equipment life cycle are realized. The implementation of the system has significantly improved the availability and overall operation efficiency of the dispatching automation of the power room.
{"title":"An Automatic Asset Life-Cycle Monitoring System Based on RFID Radio Frequency","authors":"Zhengwei Jiang, Jianhua Yang, Xueqi Jin, Qunchao Bi, Jiajia Huang, Fan Chen, Huanhuan Lai, Weiwei Chen","doi":"10.1109/SmartBlock52591.2020.00040","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00040","url":null,"abstract":"In the power room scheduling automation scenario, efficient and intelligent asset management is directly related to the reliable operation of the system and cost savings. Aiming at the problems of low reliability and high resource idle rate in the dispatching automation of power equipment rooms, this paper proposes a full life cycle monitoring system for automated assets based on RFID radio frequency. The developed system leverages RFID positioning technology and RFID cabinet U grid positioning technology to realize the automation of data acquisition and paperless. Meanwhile, with the big data technology, the whole monitoring and state tracking in the equipment life cycle are realized. The implementation of the system has significantly improved the availability and overall operation efficiency of the dispatching automation of the power room.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"14 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125991196","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}
Pub Date : 2020-10-01DOI: 10.1109/SmartBlock52591.2020.00033
Yun Cheng
Music technology is a typical inter-disciplinary field, which is divided into two part, art and technology. As an important part of the music technology field, the music information retrieval (MIR) technology has emerged in recent years. The MIR field contains dozens of research topics, which can be divided into core layer and application layer according to the closeness of each music element. Blockchain is a frontier technology that uses blockchain data structure to verify and store data, and uses distributed node consensus algorithm to generate and update data. The current development of MIR technology still faces many difficulties, but with the continuous integration of art and technology, it will surely usher in a glorious period of its development.
{"title":"Music Information Retrieval Technology: Fusion of Music, Artificial Intelligence and Blockchain","authors":"Yun Cheng","doi":"10.1109/SmartBlock52591.2020.00033","DOIUrl":"https://doi.org/10.1109/SmartBlock52591.2020.00033","url":null,"abstract":"Music technology is a typical inter-disciplinary field, which is divided into two part, art and technology. As an important part of the music technology field, the music information retrieval (MIR) technology has emerged in recent years. The MIR field contains dozens of research topics, which can be divided into core layer and application layer according to the closeness of each music element. Blockchain is a frontier technology that uses blockchain data structure to verify and store data, and uses distributed node consensus algorithm to generate and update data. The current development of MIR technology still faces many difficulties, but with the continuous integration of art and technology, it will surely usher in a glorious period of its development.","PeriodicalId":443121,"journal":{"name":"2020 3rd International Conference on Smart BlockChain (SmartBlock)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122280089","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}
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