According to the manual recognition and identification difficulty of the E-business illegal behavior, an E-business supervision platform is developed through the use of the internet search engine, text retrieval, data mining, and bloom filtering technologies. This platform supports the identification and establishment of the E-business economic subject database, the illegal E-business behavior and advertising behavior search. It also realizes the electronic identification display and anti-fake detection. This platform shows better efficiency and superiority than manual working in practice.