LAMP: Prompt Layer 7 Attack Mitigation with Programmable Data Planes

Garegin Grigoryan, Yaoqing Liu
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引用次数: 9

Abstract

While there are various methods to detect application layer attacks or intrusion attempts on an individual end host, it is not efficient to provide all end hosts in the network with heavy-duty defense systems or software firewalls. In this work, we leverage a new concept of programmable data planes, to directly react on alerts raised by a victim and prevent further attacks on the whole network by blocking the attack at the network edge. We call our design LAMP, Layer 7 Attack Mitigation with Programmable data planes. We implemented LAMP using the P4 data plane programming language and evaluated its effectiveness and efficiency in the Behavioral Model (bmv2) environment.
LAMP:使用可编程数据平面提示第7层攻击缓解
虽然有各种方法可以检测单个终端主机上的应用层攻击或入侵企图,但为网络中的所有终端主机提供重型防御系统或软件防火墙的效率并不高。在这项工作中,我们利用可编程数据平面的新概念,直接对受害者提出的警报做出反应,并通过阻止网络边缘的攻击来防止对整个网络的进一步攻击。我们称我们的设计为LAMP,即使用可编程数据平面的第7层攻击缓解。我们使用P4数据平面编程语言实现LAMP,并评估其在行为模型(bmv2)环境中的有效性和效率。
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