A Network Attack Blocking Scheme based on Threat Intelligence

Kun Li, Rui Wang, Haiwei Li, Yan Hao
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引用次数: 0

Abstract

In the current network security situation, the types of network threats are complex and changeable. With the development of the Internet and the application of information technology, the general trend is opener. Important data and important business applications will face more serious security threats. However, with the development of cloud computing technology, the trend of large-scale deployment of important business applications in cloud centers has greatly increased. The development and use of software-defined networks in cloud data centers have greatly reduced the effect of traditional network security boundary protection. How to find an effective way to protect important applications in open multi-step large-scale cloud data centers is a problem we need to solve. Threat intelligence has become an important means to solve complex network attacks, realize real-time threat early warning and attack tracking because of its ability to analyze the threat intelligence data of various network attacks. Based on the research of threat intelligence, machine learning, cloud central network, SDN and other technologies, this paper proposes an active defense method of network security based on threat intelligence for super-large cloud data centers.
基于威胁情报的网络攻击阻断方案
在当前的网络安全形势下,网络威胁的类型复杂多变。随着互联网的发展和信息技术的应用,总趋势是开放的。重要数据和重要业务应用将面临更加严重的安全威胁。然而,随着云计算技术的发展,在云中心大规模部署重要业务应用的趋势大大增加。软件定义网络在云数据中心的发展和使用,大大降低了传统网络安全边界防护的效果。如何在开放的多步大型云数据中心中找到一种有效的方式来保护重要的应用是我们需要解决的问题。威胁情报由于能够分析各种网络攻击的威胁情报数据,已成为解决复杂网络攻击、实现实时威胁预警和攻击跟踪的重要手段。本文在研究威胁情报、机器学习、云中心网络、SDN等技术的基础上,针对超大型云数据中心提出了一种基于威胁情报的网络安全主动防御方法。
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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