Active network measurements constitute an impor- tant part in gaining a
better understanding of the Internet. Although IPv4-wide scans are now easily
possible, random active probing is infeasible in the IPv6 Internet. Therefore,
we propose a hybrid approach to generate a hitlist of IPv6 addresses for
scanning: First, we extract IPv6 addresses from passive flow data. Second, we
leverage publicly available resources such as rDNS data to gather further IPv6
addresses. Third, we conduct traceroute measurements from several vantage
points to obtain additional addresses. We perform multiple active measurements
on gathered IPv6 addresses and evaluate response rates over time. We
extensively compare all IPv6 address sources. In total we found 150M unique
IPv6 addresses over the course of four weeks. Our hitlist covers 72% of
announced prefixes and 84% of Autonomous Systems. Finally, we give concrete
recommendations to maximize source efficiency for different scan types.

研究采用混合方法生成 IPv6 地址的命中列表，包括从被动流数据中提取 IPv6 地址，利用可公开获取的资源（如 rDNS 数据）收集更多 IPv6 地址，并从多个角度进行 traceroute 测量以获得其他地址。最终给出不同扫描类型的具体建议。