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首页> 外文会议>2016 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：自适应隐私策略预测，用于垃圾邮件过滤

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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：互联网是计算机的广泛网络，无法免受恶意攻击。沿着这个不受保护的Internet传播的电子邮件永远都有电子危险。企业越来越依赖电子邮件与客户和同事通信。随着更多敏感信息在线传输，对电子邮件隐私的需求变得更加紧迫。垃圾邮件吞噬了大量带宽，并惹恼收件人。不请自来的消息通常用于强迫用户泄露其个人信息。垃圾邮件通常用于询问攻击者可以使用的信息。电子邮件是通信的专用媒体，并且固有的隐私约束条件成为开发有效的垃圾邮件过滤方法的主要障碍，该方法要求访问属于多个用户的大量电子邮件数据。为了缓解此问题，我们预见了一种本质上具有适应性的隐私保护垃圾邮件过滤系统，可帮助用户为他们的电子邮件编写隐私设置。我们提出了一个两级框架，该框架可以过滤垃圾邮件并确定最佳的可用隐私策略。垃圾邮件检测通过使用HTML内容的相似性匹配方案完成，并且自适应隐私框架启用了自动设置为垃圾邮件过滤的电子邮件的设置。

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