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Bit vector algorithms enabling high-speed and memory-efficient firewall blacklisting

机译:位矢量算法启用高速和内存高效的防火墙黑色信用

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In a world of increasing Internet connectivity coupled with increasing computer security risks, security conscious network applications implementing blacklisting technology are becoming very prevalent because it provides the ability to prevent information exchange from known malicious sources. Current technology implementing blacklisting does so at the application level. However, there are numerous benefits for implementing blacklisting filters in the firewall. These benefits include reduced application workload and reduced bandwidth consumption. But, because the de facto algorithm in firewalls is based on a linear search first match principle, large blacklists are not feasible to implement in firewalls due to the O(N) timing complexity of linear search methods. This paper addresses this issue by describing techniques that solve the O(N) time complexity issue without changing the internal input-output behavior of the firewall.
机译:在增加互联网连接的世界与增加的计算机安全风险增加时,实施黑名单技术的安全意识网络应用正在变得非常普遍,因为它提供了防止信息交流从已知的恶意源。目前在应用程序级别实施黑名单的技术。但是,在防火墙中实现了黑名单过滤器存在许多好处。这些优势包括减少应用程序工作负载和降低的带宽消耗。但是,由于防火墙中的事实上算法基于线性搜索第一个匹配原理,因此由于线性搜索方法的O(n)时间复杂性,在防火墙中实现大量黑名单是不可行的。本文通过描述解决O(n)时间复杂性问题而不更改防火墙的内部输入输出行为的技术来解决此问题。

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