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首页> 外文期刊>EDPACS: The EDP audit, control and security newsletter >AN ANATOMY OF PHISHING MESSAGES AS DECEIVING PERSUASION: A CATEGORICAL CONTENT AND SEMANTIC NETWORK STUDY
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AN ANATOMY OF PHISHING MESSAGES AS DECEIVING PERSUASION: A CATEGORICAL CONTENT AND SEMANTIC NETWORK STUDY

机译:欺骗性诱骗邮件的解剖学:一种语法内容和语义网络研究

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Previous research on phishing has focused on the extent to which their presentation (e.g., logo, interface, and email address) resembled legitimate emails from well-known companies. Although the message content is an important factor of phishing, it has not been studied enough. Assuming phishing is a deceiving and persuasive activity, this study conducted a content analysis and a semantic network analysis of phishing messages with categories of persuasive message components. Results indicate that phishing messages heavily rely on reasoning from cause in logical appeals, safety needs in motivational appeals, and fear emotion in emotional appeals. Content analyses suggest that phishing emails tend to be explicit, and climax ordered. Interestingly, phishing emails do not use much time restriction to intensify fear emotions such as asking a quick response. Semantic network analyses show that the most frequently used words in phishing messages include ebay, online, please, http, com, information, paypal, update, security, and bank. The top 50 frequent words constitute two large clusters based on their word proximity and co-occurrence, and each cluster represents security and privacy, respectively. This suggests that phishing messages have unique message characteristics and meaning structures which can enrich our understanding of online deception. Suggestions for future research and limitations are also discussed.
机译:以前有关网络钓鱼的研究集中在其呈现方式(例如徽标,界面和电子邮件地址)与来自知名公司的合法电子邮件相似的程度上。尽管邮件内容是网络钓鱼的重要因素,但对其的研究还不够深入。假设网络钓鱼是一种欺骗性和说服力的活动,那么本研究针对具有说服力的消息组件类别对网络钓鱼消息进行了内容分析和语义网络分析。结果表明,网络钓鱼邮件在很大程度上依赖于逻辑申诉中的原因推理,动机申诉中的安全需求以及情感申诉中的恐惧情绪。内容分析表明,网络钓鱼电子邮件趋于明确,并达到了高潮。有趣的是,网络钓鱼电子邮件没有使用太多时间限制来加剧恐惧情绪,例如要求快速响应。语义网络分析显示,网络钓鱼邮件中最常用的词包括ebay,在线,拜托,http,com,信息,贝宝,更新,安全和银行。前50个频繁出现的单词根据它们的单词接近度和共现程度构成两个大类,每个类分别代表安全性和隐私性。这表明网络钓鱼邮件具有独特的邮件特征和含义结构,可以丰富我们对在线欺骗的理解。还讨论了对未来研究的建议和局限性。

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