用户如何发布关于网络攻击的推文:一项使用机器学习和社交网络分析的探索性研究

IF 1.4 Q2 COMMUNICATION Journal of Digital Media & Policy Pub Date : 2020-06-01 DOI:10.1386/jdmp_00016_1
Daniel Vogler, F. Meissner
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引用次数: 1

摘要

随着商业数字化,网络犯罪对公司和客户的威胁越来越大。然而,研究表明,尽管人们声称他们关心自己在网上的隐私,但他们并没有采取相应的行动。这项研究调查了推特用户在网络攻击期间普遍存在的安全问题。正在审查的案件是美国票务销售公司Ticketfly的安全漏洞,该漏洞泄露了2600万用户的信息。与网络安全相关的推文是通过应用基于支持向量机监督机器学习的自动文本分类来检测的。随后,通过社交网络分析,将撰写安全相关推文的用户分组到社区中。这项多方法研究的结果表明,关心安全问题的用户大多是已经具备网络安全高级知识的专家社区的一部分。
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How users tweet about a cyber attack: An explorative study using machine learning and social network analysis
Cybercrime is a growing threat for firms and customers that emerged with the digitization of business. However, research shows that even though people claim that they are concerned about their privacy online, they do not act correspondingly. This study investigates how prevalent security issues are during a cyber attack among Twitter users. The case under examination is the security breach at the US ticket sales company, Ticketfly, that compromised the information of 26 million users. Tweets related to cybersecurity are detected through the application of automated text classification based on supervised machine learning with support vector machines. Subsequently, the users that wrote security-related tweets are grouped into communities through a social network analysis. The results of this multi-method study show that users concerned about security issues are mostly part of expert communities with already superior knowledge about cybersecurity.
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CiteScore
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发文量
25
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