In recent years, many scanning organizations deploy large numbers of scanners to actively probe the Internet. Identifying the organizations behind these scanners is of significant value. The problem of analyzing the sources of scanners has been investigated in various studies. However, as far as we know, the problem of effectively and generally identifying scanner organizations in real-world scenarios remains unsolved.

We introduce TopoHunter, an efficient IPv6 Internet topology discovery system. The central concept of TopoHunter is to allocate more probing resources to target prefix spaces that yield greater topological benefits, as well as to their surrounding areas. To achieve this, we design a feedback-based target generation module comprised of a Target Prefix Probing Value Forest that maintains the estimated probing values of hierarchical target prefix spaces. Our system has successfully discovered the most extensive and complete IPv6 topology map to date, comprising over 144 million router interfaces and 251 million edges, covering 72.83% of autonomous systems and 43.36% of routing prefixes announced by the BGP system.