介绍一种用于网络事件分析的网络取证系统

Yangseo Choi, Jooyoung Lee, Sunoh Choi, Jong-Hyun Kim, Ikkyun Kim
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引用次数: 4

摘要

最近,针对特定企业、组织和各种设施的复杂攻击有所增加,攻击者试图消除攻击痕迹,如系统日志和受害系统的相关信息。因此,收集攻击分析所需的信息变得越来越困难。为了克服这种情况,公司和组织已经开始收集网络流量作为攻击分析的辅助信息。然而,它们大多集中在网络数据包的收集上。但其中最重要的部分是如何从收集到的数据中提取出对攻击分析有用的信息。本文提出了一种基于流量分析的网络取证系统——Cyber Blackbox。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introduction to a network forensics system for cyber incidents analysis
Recently, sophisticated attacks are increased against specific business companies, organizations and various facilities and the attackers are trying to remove attack traces such as system logs and related information on the victim systems. Therefore, it is getting more difficult to collect the information for attack analysis. In order to overcome this situations, companies and organizations have started to collect the network traffic as secondary information for attack analysis. However, most of them are focusing on gathering the network packets. But one of the most important parts is to extract the useful information for attack analysis from the collected data. In this paper, we suggest a network forensics system, Cyber Blackbox, which is focused on the traffic analysis.
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