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CTU Hornet 65 Niner:一个地理分布的低相互作用蜜蜂的网络数据集
Veronica Valeros1, Sebastian Garcia1
1Department of Computer Science, FEL, Czech Technical University in Prague, Technická 2, Prague 126 627, Czech Republic.
Data in brief
|January 29, 2025
概括
本研究介绍了一个全球网络数据集,揭示了地理位置如何影响针对 honeypots 的网络攻击类型和数量. 这些数据提供了对全球网络安全威胁和 honeypot 性能的见解.
科学领域:
- 网络安全 网络安全
- 网络安全 网络安全
- 数据科学数据科学数据科学
背景情况:
- 了解网络威胁的地理分布对于有效的网络防御至关重要.
- 蜜蜂是收集真实世界的攻击数据的宝贵工具.
- 以前的研究往往缺乏地理上多样化的,大规模的网络流量数据.
研究的目的:
- 引入一个新的网络数据集,详细介绍在全球不同地区观察到的网络攻击.
- 促进对地理因素对网络攻击特征的影响的研究.
- 为分析全球网络威胁情报提供全面的资源.
主要方法:
- 在65天内收集了1240万个网络流,使用了9个相同配置的低交互的蜂蜜.
- 在全球九个主要城市部署 honeypots:阿姆斯特丹,班加罗尔,法兰克福,伦敦,纽约,旧金山,新加坡,多伦多和悉尼.
- 利用 Zeek,一个最先进的网络流收集器,以 JSON 格式捕获详细的协议特定日志.
主要成果:
- 该数据集捕捉了各种类型和网络攻击的数量.
- 地理位置被证明与特定的攻击模式和强度相关.
- 这些数据为分析全球网络安全趋势提供了丰富的来源.
结论:
- 引入的数据集为网络攻击提供了一个独特的全球视角.
- 地理因素对网络威胁的性质和数量产生重大影响.
- 这一资源将促进网络安全和威胁情报方面的研究.
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