Physical unclonable functon(PUF) is an indispensable fundament in anti-counterfeiting due to its inherent uniqueness. However, self-limitation of conventional graphical/spectral PUFs in materials often causes it difficult to simultaneously possess high code flexibility and excellent environmental stability in practice. Here we propose a universal, fractal-guided film annealing strategy to realize the random Au network-based PUFs that can be designed on-demand in complexity, enabling the tags’intrinsic uniqueness and stability. Based on the roughening-enabled plasmonic network platform, an additional chemical encoding with enhanced Raman response can be demonstrated for multiple-level security. Moreover, a dynamic deep learning-based authentication system with an expandable database is built for identifying and tracking the PUFs, realizing an efficient and reliable authentication with 100% validation accuracy. The configurable and multidimensional tags in mass production can be served as the competitive PUF carriers for high-level anti-counterfeiting and data encryption.