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首页> 外文期刊>Journal of Computers >Email Hoax Detection System Using Levenshtein Distance Method
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Email Hoax Detection System Using Levenshtein Distance Method

机译：使用levenshtein距离方法的电子邮件Hoax检测系统

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—Hoaxes are non-malicious viruses. They live on deceiving human’s perception by conveying false claims as truth. Throughout history, hoaxes have actually able to influence a lot of people to the extent of tarnishing the victim’s image and credibility. Moreover, wrong and misleading information has always been a distortion to a human’s growth. Some hoaxes were created in a way that they can even obtain personal data by convincing the victims that those data were required for official purposes. Hoaxes are different from spams in a way that they masquerade themselves through the address of those related either directly or indirectly to us. Most of the time, they appear as a forwarded message and sometimes from legit companies. This paper addresses this issue by developing a hoax detection system by incorporating text matching method using Levenshtein Distance measure. The proposed model is used to identify text-based hoax emails. Sensitivity and specificity are used to evaluate the accuracy of the system in identifying hoax emails.
机译：- 哈克斯是非恶意病毒。他们通过将虚假索赔作为真理传达而欺骗人类的看法。在整个历史中，恶作剧实际上能够影响很多人在玷污受害者的形象和可信度的程度。此外，错误和误导性的信息一直是人类增长的扭曲。一些恶作剧是以一种方式创建的，他们甚至可以通过说服官方目的所要求的受害者获得个人数据。恶作剧与垃圾邮件不同，以便他们通过直接或间接与我们联系的那些地址构成这些方式。大多数时候，它们显示为转发的消息，有时从合法的公司中出现。本文通过使用Levenshtein距离测量结合文本匹配方法来开发恶作剧检测系统来解决这个问题。所提出的模型用于识别基于文本的恶作剧电子邮件。灵敏度和特异性用于评估系统识别恶作剧电子邮件的准确性。

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