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Spam Detection Proposal in Regular and Text-based Image Emails

机译:常规邮件和基于文本的图像电子邮件中的垃圾邮件检测建议

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Spam, Emails are invading users without their consent and filling their mail boxes with Email trash. Priceless effort and time of the users and organizations are wasted in handling them. To circumvent anti-spam solutions, many spammers are sending spam Email with image-only content. In this paper we propose a spam detection approach in Emails with text and image contents. In the first part, a novel framework for extracting intelligent information from Emails with image content is presented and a prototype implementation is shown. In the second part, a proposal for multi-layered spam detection algorithm is presented, which enhances existing approaches
机译:垃圾邮件,电子邮件在未经用户同意的情况下入侵用户,并在邮箱中填充了电子邮件垃圾箱。用户和组织的无价工作和时间浪费在处理它们上。为了规避反垃圾邮件解决方案,许多垃圾邮件发送者都向垃圾邮件发送仅包含图像内容的电子邮件。在本文中,我们提出了一种在电子邮件中包含文本和图像内容的垃圾邮件检测方法。在第一部分中,提出了一种新颖的框架,用于从具有图像内容的电子邮件中提取智能信息,并显示了原型实现。在第二部分中,提出了一种针对多层垃圾邮件检测算法的建议,该建议对现有方法进行了改进。

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