PCAPFunnel:一个快速探索包捕获文件的工具

Juraj Uhlár, Martin Holkovic, Vít Rusňák
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引用次数: 4

摘要

网络流量分析是网络运行和安全事件分析的基本任务之一。尽管在工作流自动化方面做出了巨大的努力,但大部分工作仍然依赖于领域专家的手动数据探索和分析见解。当前最先进的网络分析工具以牺牲可用性为代价提供了高度的灵活性,并且具有陡峭的学习曲线。最近的分析工具(通常是基于web的)强调交互式可视化并提供简单的用户界面,但仅提供有限的分析支持。本文介绍了支持网络和安全操作人员分析工作的工具。我们将介绍典型的用户任务和需求。我们还提出了过滤漏斗比喻,通过链接过滤步骤的可视化来探索包捕获(PCAP)文件。我们已经创建了PCAPFunnel,这是一个新颖的工具,可以改善用户体验并加快数据包捕获数据分析。该工具提供了通信概览、直观的数据过滤以及各个网络节点及其之间连接的详细信息。与九位领域专家进行的定性可用性研究证实了我们的方法在广泛的任务和使用场景中用于初始数据探索的可用性和有用性,从教育目的到探索性网络数据分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PCAPFunnel: A Tool for Rapid Exploration of Packet Capture Files
Analyzing network traffic is one of the fundamental tasks in both network operations and security incident analysis. Despite the immense efforts in workflow automation, an ample portion of the work still relies on manual data exploration and analytical insights by domain specialists. Current state-of-the-art network analysis tools provide high flexibility at the expense of usability and have a steep learning curve. Recent—often web-based—analytical tools emphasize interactive visualizations and provide simple user interfaces but only limited analytical support. This paper describes the tool that supports the analytical work of network and security operators. We introduce typical user tasks and requirements. We also present the filtering funnel metaphor for exploring packet capture (PCAP) files through visualizations of linked filter steps. We have created PCAPFunnel, a novel tool that improves the user experience and speeds up packet capture data analysis. The tool provides an overview of the communication, intuitive data filtering, and details of individual network nodes and connections between them. The qualitative usability study with nine domain experts confirmed the usability and usefulness of our approach for the initial data exploration in a wide range of tasks and usage scenarios, from educational purposes to exploratory network data analysis.
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