Improving the Efficiency of Spam Filtering through Cache Architecture

Ashok Khanal, B. S. Motlagh, T. Koçak
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引用次数: 5

Abstract

Blacklists (BLs), also called domain name system-based blackhole list (DNSBLs) are the databases of known internet addresses used by the spammers to send out the spam mails. Mail servers use these lists to filter out the e-mails coming from different spam sources. In contrary, Whitelists (WLs) are the explicit list of senders from whom e-mail can be accepted or delivered. Mail transport agent (MTA) is usually configured to reject, challenge or flag the messages which have been sent from the sources listed on one or more DNSBLs and to allow the messages from the sources listed on the WLs. In this paper, we are demonstrating how the bandwidth (the overall requests and responses that need to go over the network) performance is improved by using local caches for BLs and WLs. The actual sender's IP addresses are extracted from the e-mail log. These are then compared with the list in the local caches to find out if they should be accepted or not, before they are checked against the global DNSBLs by running 'DNSBL queries' (if required). Around three quarters of the e-mail sources have been observed to be filtered locally through caches with this method. Provision of local control over the lists and lower search (filtering) time are the other related benefits.
利用缓存架构提高垃圾邮件过滤效率
黑名单(BLs),又称基于域名系统的黑洞名单(DNSBLs),是垃圾邮件发送者用来发送垃圾邮件的已知互联网地址数据库。邮件服务器使用这些列表来过滤来自不同垃圾邮件来源的电子邮件。相反,白名单(WLs)是可以接受或发送电子邮件的发件人的明确列表。邮件传输代理(MTA)通常被配置为拒绝、质疑或标记从一个或多个dnsbl上列出的来源发送的消息,并允许从wl上列出的来源发送消息。在本文中,我们将演示如何通过为bl和wl使用本地缓存来提高带宽(需要通过网络的总体请求和响应)性能。实际发件人的IP地址是从电子邮件日志中提取的。然后将它们与本地缓存中的列表进行比较,以确定它们是否应该被接受,然后通过运行“DNSBL查询”(如果需要)对全局DNSBL进行检查。据观察,大约四分之三的电子邮件源通过使用这种方法的缓存进行了本地过滤。提供对列表的本地控制和更短的搜索(过滤)时间是其他相关的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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