FBAR: An effective method for resolving large-scale IPv6 aliases

With the promotion and application of IPv6 in the world, there is a growing demand for IPv6 alias resolution. How to resolve IPv6 alias efficiently and accurately becomes an urgent problem to be solved. After analyzing the features of IPv6 addresses, this paper proposes a large-scale adaptive IPv6 alias resolution method based on fingerprint information by combining Too-Big Trick, UAv6, APD, and other alias resolution algorithms. It sends ICMPv6 probe packets to different types of IPv6 addresses to get the fingerprint information of target hosts. After filtering the classified addresses, our proposed alias resolution method is adaptively selected to resolve alias addresses. In the experiment, we use multi-thread method to resolve the aliases of large-scale IPv6 addresses, which greatly improves the efficiency of detection. Meanwhile, we use IPv6 datasets collected from the organizations RIPE and CAIDA. By comparing with Speedtrap and Too-Big Trick, we confirm the accuracy of this method and obtain more alias pairs. This paper proposes a large scale adaptive IPv6 alias resolution method based on fingerprint information. This method adaptively selects alias resolution algorithm according to different address fingerprint information. In the experiment, we use multi-thread method to resolve the alias of large-scale IPv6 address, which greatly improves the detection efficiency and obtains more effective alias pairs.image