Author(s): Bassem Essameldin Omar
Originally published on Towards AI.
A recurring challenge in network analytics arises when two distinct consumer brands are operated by the same legal entity and share a single Autonomous System Number (ASN). Standard IP-to-ISP databases resolve every IP in that ASN to one company name, making it impossible to distinguish which brand a given measurement session belongs to. No labelled training set exists.
The input is two datasets (IPv4 and IPv6) where each row represents aggregated sessions sharing the same DNS resolver IP, with accompanying fields: IP range bounds, ASN organisation string, geographic region, connection public IP, and a session count. The objective is to assign each row a brand label using only these network-layer signals.
Photo by BoliviaInteligente on Unsplash
