走向实时的全网网络态势感知

Tomás Jirsík, Pavel Čeleda
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引用次数: 8

摘要

在当今复杂的计算机网络中,我们不断面临着数据丢失、系统泄露或知识产权被盗的风险。网络的复杂性阻碍了它们的有效防御。一种网络范围的网络态势感知(NwCSA)已经被引入,以协助网络安全管理员进行网络安全。然而,这一概念面临着一些挑战,阻碍了NwCSA在现实环境中的有效应用。面临的挑战包括原始数据过载、反应速度慢、缺乏上下文和网络上的统一视图。在本文中,我们提出了一个面对上述挑战的新框架。该框架利用分布式数据流处理系统和方法进行实时大数据处理。该框架是根据NwCSA系统的规定要求进行评估的。此外,我们还提供了一个原型框架实现,并提供了从其实际部署中吸取的经验教训。
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Toward real-time network-wide cyber situational awareness
In today's complex computer networks, we are constantly facing a risk of data loss, system compromise, or intellectual property theft. The complexity of the networks hinders their effective defense. A Network-wide Cyber Situational Awareness (NwCSA) has been introduced to assist a network security administrator with network security. The concept, how-ever, faces several challenges that hinder an efficient application of the NwCSA in a real-world environment. The challenges include the overload of raw data, low speed of reaction, and a lack of context and unified view on a network. In this paper, we present a novel framework that faces above mentioned challenges. The framework leverages a distributed data stream processing system and methods for real-time big data processing. The framework is evaluated with respect to stated requirements on systems for NwCSA. Moreover, we present a prototype framework implementation and provide lessons learned from its real-world deployment.
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