Web Guard: A Biometrics Identification System for Network Security

摘要: With the fast development of E-commerce, there is an immediate need for efficient and effective personal identification verification system security network access. To overcome limitations current existing password-based authentication services on Internet, we apply biometrics computing technology to achieve high performance. tackle challenge integration multiple features within a single platform satisfy requirements various purposes, introduce new approach with multimodal data warehousing techniques. In contrast systems which employ fixed mechanism representation similarity measurement, extend concepts conventional warehouse database storage. addition, propose fuzzy neural provide automatic autonomous classification outputs by integrating logic Back Propagation Feed Forward (BPFF) network. increase speed flexibility process, use mobile agents as steering tool parallel processing in distributed environment, includes hierarchical biometric feature representation, integration, dynamic indexing flexible search. An agent named “Aglet” used programming framework illustrate combination structure reliable identity identification. The experimental results demonstrate feasibility proposed eCommerce applications.