坏域名:早期检测网络鱼域名注册
Karolina Seweryn1, Piotr Białczak2, Tomasz Chytry-Trzeciak2
1NASK National Research Institute, Kolska 12, 01-045 Warsaw, Poland.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
BadDomains是一个用于早期检测网络鱼域名注册的新系统. 它使用域名注册数据和网络鱼情报来识别恶意域名,在及时检测方面超过现有系统.
科学领域:
- 网络安全 网络安全
- 计算机科学 计算机科学
背景情况:
- 网络鱼攻击经常冒充合法实体来欺骗用户.
- 网络犯罪分子注册特定的域名来托管网络鱼网站.
研究的目的:
- 提出BadDomains,一个用于早期检测网络鱼域名注册的系统.
- 通过利用新型功能和现有知识来增强恶意域名的检测.
主要方法:
- BadDomains将新注册的域名数据与当前的网络鱼情报集成在一起.
- 功能是使用分析.pl网络鱼域名数据和CSIRT操作经验来设计的.
- 评估涉及.pl TLD注册数据和CERT Polska的网络鱼域名列表.
主要成果:
- 与适应的Premadoma系统相比,BadDomains显示出更高的F1分数.
- 该系统在运营部署后及时检测到以前未知的网络鱼域名.
结论:
- BadDomains为早期检测网络鱼域名注册提供了一个有效的解决方案.
- 该系统的性能表明它在打击网络鱼攻击方面的价值.
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