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首页> 外文会议>World Conference on Futuristic Trends in Research and Innovation for Social Welfare >Adaptive privacy policy prediction for email spam filtering
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Adaptive privacy policy prediction for email spam filtering

机译：电子邮件垃圾邮件过滤的自适应隐私政策预测

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摘要

Internet being an expansive network of computers is unprotected against malicious attacks. Email that travels along this unprotected Internet is eternally exposed to electronic dangers. Businesses are increasingly relying on electronic mail to correspond with clients and colleagues. As more sensitive information is transferred online, the need for email privacy becomes more pressing. Spam mails eat up huge amounts of bandwidths and annoy the receivers. Unsolicited messages are often used to compel the users to reveal their personal information. Spam mails are commonly used to ask for information that can be used by the attackers. Email is a private medium of communication, and the inherent privacy constraints form a major obstacle in developing efficient spam filtering methods which require access to a large amount of email data belonging to multiple users. To alleviate this problem, we foresee a privacy preserving spam filtering system that is adaptive in nature and help the user to compose privacy settings for their emails. We propose a two level framework which filters spam and also determines the best available privacy policy. Spam detection is done by similarity matching scheme using HTML content and the adaptive privacy framework enables the automatic settings for email that are filtered as spam.
机译：互联网是一种广泛的计算机网络，无法防止恶意攻击。沿着这种未受保护的互联网旅行的电子邮件是永恒暴露于电子危险的电子邮件。企业越来越依赖电子邮件与客户及其同事通信。随着更敏感的信息在线转移，对电子邮件隐私的需求变得更加紧迫。垃圾邮件吃了大量带宽并惹恼了接收器。未经请求的消息通常用于迫使用户揭示他们的个人信息。垃圾邮件通常用于询问攻击者可以使用的信息。电子邮件是一个私人沟通媒体，并且固有的隐私约束在开发有效的垃圾邮件过滤方法时，需要访问属于多个用户的大量电子邮件数据的主要障碍。为了缓解这个问题，我们预计隐私保留垃圾邮件过滤系统，该系统是自适应的，并帮助用户为其电子邮件构成隐私设置。我们提出了一个两个级别的框架，这些框架过滤垃圾邮件，并确定最佳可用隐私政策。垃圾邮件检测是通过使用HTML内容的相似性匹配方案来完成的，自适应隐私框架使自动设置为垃圾邮件。

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