用于网络数据包捕获的基于web的渐进式可视化分析

Alex Ulmer, D. Sessler, J. Kohlhammer
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引用次数: 12

摘要

网络流量日志数据是网络安全事件取证分析的重要数据源。包捕获(pcap)是直接从网络设备收集的原始信息。随着带宽和与其他主机连接的增加,这些数据很快就会变得非常大。恶意软件分析师和管理员经常使用这些数据进行分析。然而,目前最常用的工具Wireshark是将数据显示为表格,这使得很难获得概述并关注重要部分。此外,加载大文件到Wireshark的过程需要时间,并且每次关闭文件时都必须重复。我们认为,这个问题为采用渐进式可视化分析方法的客户机-服务器基础设施提供了最佳设置。可以将处理外包给服务器,同时逐步更新客户端。在本文中,我们介绍了NetCapVis,一个基于web的渐进式可视化分析系统,用户可以上传PCAP文件,在上传之前设置初始过滤器以减少数据,然后立即与数据交互,而其余部分则逐步加载到可视化中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NetCapVis: Web-based Progressive Visual Analytics for Network Packet Captures
Network traffic log data is a key data source for forensic analysis of cybersecurity incidents. Packet Captures (PCAPs) are the raw information directly gathered from the network device. As the bandwidth and connections to other hosts rise, this data becomes very large quickly. Malware analysts and administrators are using this data frequently for their analysis. However, the currently most used tool Wireshark is displaying the data as a table, making it difficult to get an overview and focus on the significant parts. Also, the process of loading large files into Wireshark takes time and has to be repeated each time the file is closed. We believe that this problem poses an optimal setting for a client-server infrastructure with a progressive visual analytics approach. The processing can be outsourced to the server while the client is progressively updated. In this paper we present NetCapVis, an web-based progressive visual analytics system where the user can upload PCAP files, set initial filters to reduce the data before uploading and then instantly interact with the data while the rest is progressively loaded into the visualizations.
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