Effect Evaluation Method of IPv6 OS Fingerprinting based on AHP-TFN

In the pivotal realm of IPv6 network asset management, IPv6 operating system (OS) fingerprinting technologies assumes a paramount role. Nevertheless, current evaluation methods for these technologies remain inadequate. In light of this, this paper innovatively constructs a three-tiered effect evaluation index system for IPv6 OS fingerprinting, the analytic hierarchy process (AHP) based on triangular fuzzy numbers is introduced to achieve a precise and quantitative evaluation of the effectiveness of IPv6 OS fingerprinting. To validate the practicality and effectiveness of this evaluation system, three IPv6 OS fingerprinting tools (Nmap, P0f, and OSDetector6) were selected as evaluation subjects and a typical IPv6 network environment was established to conduct comprehensive and in-depth testing and evaluation on nodes encompassing 15 OS versions. In conclusion, this proposed method not only fills the gap in the field of IPv6 OS fingerprinting effect evaluation but also provides robust technical support and decision-making foundations for the security management and optimization of IPv6 network assets through multi-dimensional and refined evaluation means.