Mitigating DDoS attacks towards Top Level Domain name service

Lanlan Pan, Xuebiao Yuchi, Yong Chen
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引用次数: 5

Abstract

As the largest country code Top Level Domain (ccTLD) name service, .CN receives billions of queries every day. Under the threat of Distributed Denial-of-Service (DDoS) attacks, effective mechanism for client classification is especially important for such busy ccTLD service. In this paper, by analyzing the query log of .CN name service, we propose a novel client classification method based on client query entropy and global recursive DNS service architecture. By checking with the query frequencies of the clients, we validate the effectiveness of the proposed method on both busy and long-tailed clients. We find that 2.32% clients can cover the most important web spiders, recursive servers, and well-known internet services, etc. The results indicate that, our method can bring significant benefits for creating the client whitelist, which is useful for mitigating DDoS attack towards Top Level Domain (TLD) name service.
减少针对顶级域名服务的DDoS攻击
作为最大的国家代码顶级域名(ccTLD)域名服务,. cn每天收到数十亿次查询。在分布式拒绝服务(DDoS)攻击的威胁下,对于繁忙的ccTLD服务而言,有效的客户端分类机制显得尤为重要。本文通过对。cn域名服务查询日志的分析,提出了一种基于客户端查询熵和全局递归DNS服务架构的客户端分类方法。通过检查客户端的查询频率,我们验证了所提方法在繁忙和长尾客户端的有效性。我们发现2.32%的客户端可以覆盖最重要的网络蜘蛛、递归服务器和知名的互联网服务等。结果表明,该方法可以为客户端白名单的创建带来显著的好处,有助于缓解针对顶级域名服务的DDoS攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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