将基于文件的恶意软件图与DNS图的经验基础事实相关联

Jukka Ruohonen, S. Šćepanović, S. Hyrynsalmi, I. Mishkovski, T. Aura, V. Leppänen
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引用次数: 3

摘要

这篇探索性实证论文研究了在域之间共享独特的恶意软件文件是否与互联网协议(IP)地址的共享和正常的、非恶意软件文件的共享有经验关联。然而,通过使用来自F-Secure的网络爬行数据集的图理论方法,论文发现没有强大的统计关联。与人们对共享主机服务的持续流行所期望的不同,通过域名系统(DNS)共享IP地址似乎既没有增加也没有减少恶意软件文件的共享。除了这些探索性的实证结果之外,本文还通过阐述适用于分析不同网络取证问题的图理论表示,为DNS挖掘领域做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlating file-based malware graphs against the empirical ground truth of DNS graphs
This exploratory empirical paper investigates whether the sharing of unique malware files between domains is empirically associated with the sharing of Internet Protocol (IP) addresses and the sharing of normal, non-malware files. By utilizing a graph theoretical approach with a web crawling dataset from F-Secure, the paper finds no robust statistical associations, however. Unlike what might be expected from the still continuing popularity of shared hosting services, the sharing of IP addresses through the domain name system (DNS) seems to neither increase nor decrease the sharing of malware files. In addition to these exploratory empirical results, the paper contributes to the field of DNS mining by elaborating graph theoretical representations that are applicable for analyzing different network forensics problems.
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