量化黑名单在地址复用时代的影响

Sivaramakrishnan Ramanathan, Anushah Hossain, J. Mirkovic, Minlan Yu, Sadia Afroz
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引用次数: 10

摘要

黑名单由已知的恶意IP地址组成,可以作为阻止恶意流量的一种简单方法。然而,由于IP地址重用,黑名单可能会导致对合法用户的不公正屏蔽,其中可能会阻止比预期更多的用户。IP地址既可以在同一时间(网络地址转换)重用,也可以随时间(动态寻址)重用。我们提出了两种识别重用地址的新技术。我们使用BitTorrent分布式哈希表构建了一个爬虫来检测nat地址,并使用RIPE Atlas测量日志来检测动态分配的地址空间。然后,我们分析了151个公开可用的IPv4块列表,以显示重用地址的含义,并发现53-60%的块列表包含重用地址,具有约30.6K-45.1K的重用地址列表。我们还发现,重复使用的地址可能会影响多达78个合法用户长达44天。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantifying the Impact of Blocklisting in the Age of Address Reuse
Blocklists, consisting of known malicious IP addresses, can be used as a simple method to block malicious traffic. However, blocklists can potentially lead to unjust blocking of legitimate users due to IP address reuse, where more users could be blocked than intended. IP addresses can be reused either at the same time (Network Address Translation) or over time (dynamic addressing). We propose two new techniques to identify reused addresses. We built a crawler using the BitTorrent Distributed Hash Table to detect NATed addresses and use the RIPE Atlas measurement logs to detect dynamically allocated address spaces. We then analyze 151 publicly available IPv4 blocklists to show the implications of reused addresses and find that 53-60% of blocklists contain reused addresses having about 30.6K-45.1K listings of reused addresses. We also find that reused addresses can potentially affect as many as 78 legitimate users for as many as 44 days.
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