A trust measurement model of GIS Crime Analysis System based on fuzzy comprehensive evaluation

GIS Crime Analysis System is designed for the purpose of crime analysis, crime investigation and crime tracking with technical support and decision support for the police staff. Since the system´s data is sensitive and secret, it´s very important to ensure the safety of information and authentication of the user´s identification. This paper presents architecture of GIS Crime Analysis System based on Trusted Network Connection and proposes a trust measurement model based on fuzzy comprehensive evaluation. The example shows that the system can give a trust evaluation of the access terminal efficiently and automatically. Through the identification authentication and the trust measurement evaluation to the access terminal, the system can refuse those terminals with low trust level to access the network in order to guarantee the safety of systems and network from its origin.