Data Mining and Machine Learning最新文献_第2页

Security Concerns for Blockchain Based Sharing of Mobile Student Credential 基于区块链的移动学生证书共享的安全问题

Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120712

T. Arndt

{"title":"Security Concerns for Blockchain Based Sharing of Mobile Student Credential","authors":"T. Arndt","doi":"10.5121/csit.2022.120712","DOIUrl":"https://doi.org/10.5121/csit.2022.120712","url":null,"abstract":"Blockchain has recently taken off as a disruptive technology, from its initial use in cryptocurrencies to wider applications in areas such as property registration and insurance due to its characteristic as a distributed ledger which can remove the need for a trusted third party to facilitate transaction. This spread of the technology to new application areas has been driven by the development of smart contracts – blockchain-based protocols which can automatically enforce a contract by executing code based on the logic expressed in the contract. One exciting area for blockchain is higher education. Students in higher education are ever more mobile, and in an ever more agile world, the friction and delays caused by multiple levels of administration in higher education can cause many anxieties and hardships for students as well as potential employers who need to examine and evaluate student credentials. Distance learning as a primary platform for higher education promises to open up higher education to a wider range of learners than ever before. Blockchain-based storage of academic credentials is being widely studied due to the advantages it can bring. As with any network-based system, blockchain comes with a number of security and privacy concerns. Blockchain needs to meet several securityrelated requirements in order to be widely accepted: decentralization; confidentiality; integrity; transparency; and immutability. Researchers have been busy devising schemes to ensure that such requirements can be met in blockchain-based systems. Several types of blockchain-specific attacks have been identified: 51% attacks; malicious contracts; spam attacks; mining pools; targeted DDoS attacks; and others. Real-world attacks on blockchain-based systems have been seen on cryptocurrency sites. In this paper, we will at look at the specific privacy and security concerns for blockchain-based systems used for academic credentials as well as suggested solutions. We also examine the issues for academic credentials which are stored “off-chain” in such systems (as is often the case).","PeriodicalId":381018,"journal":{"name":"Data Mining and Machine Learning","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116599015","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

The Impact of using a Contract-Driven, Test-Interceptor based Software Development Approach 使用契约驱动的、基于测试拦截器的软件开发方法的影响

Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120704

J. Posthuma, F. Solms, Bruce W. Watson

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引用次数: 0

Instantaneous Frequency and AOA Estimation of Multicomponent Signals based on Born-Jordan Distribution 基于Born-Jordan分布的多分量信号瞬时频率和AOA估计

Data Mining and Machine Learning Pub Date : 2022-04-23 DOI: 10.5121/csit.2022.120710

Gan Quan, Tang Jie, Song Huan Huan, Wenjun Hong

引用次数: 0

Frequent Pattern Mining 频繁模式挖掘

Data Mining and Machine Learning Pub Date : 2020-01-30 DOI: 10.1002/9781119296294.ch6

C. Borgelt

引用次数: 0

Numeric Attributes 数值属性

Data Mining and Machine Learning Pub Date : 2020-01-30 DOI: 10.1017/9781108564175.004

引用次数: 0

Linear Regression 线性回归

Data Mining and Machine Learning Pub Date : 2020-01-30 DOI: 10.1017/9781108564175.029

Riccardo Guidotti

引用次数: 0

Categorical Attributes 分类属性

Data Mining and Machine Learning Pub Date : 2020-01-30 DOI: 10.1017/9781108564175.005

引用次数: 0

Deep Learning 深度学习

Data Mining and Machine Learning Pub Date : 2020-01-30 DOI: 10.1017/9781108564175.032

Andreas Eilschou

引用次数: 0

Index 指数

Data Mining and Machine Learning Pub Date : 2020-01-30 DOI: 10.1017/9781108564175.034

引用次数: 0

Classification Assessment 分类评估

Data Mining and Machine Learning Pub Date : 2020-01-30 DOI: 10.1017/9781108564175.027

引用次数: 3