ABSTRACT
Objective To build a private security network for Tianjin disease control and prevention information system to extend the coverage of Tianjin direct reporting organizations virtual private network (VPN).Methods Load balance and VPN technologies were applied,and the network of Tianjin Centers for Disease Control and Prevention was used as the core node to distribute load balance devices.The disease control facilities at city and district levels were gifted with unified internet protocol address,and IPSect VPN was used to connect the facilities.The accesses of grades of healthcare administration organizations and medical facilities were executed with SSL VPN.Results The private security network adopted proper technologies,and could be used for safe transmission of the information on Tianjin disease control and prevention to fulfill national and Tianjin standards for network security.Conclusion The private security network developed decreases the risks for information security.
ABSTRACT
The paper states the principles and characteristics of the Virtual Private Network (VPN) connection built under Android platform,analyzes whether VPN application has potential security risks by combining static analysis with dynamic verification,and introduces the detection result.
ABSTRACT
In this paper an expert system for remote fault diagnosis in the ship lift was developed by analysis of the fault tree and combination with VPN. The fault tree was constructed based on the operation condition of the ship lift. The diagnosis model was constructed by hierarchical classification of the fault tree structure, and the inference mechanism was given. Logical structure of the fault diagnosis in the ship lift was proposed. The implementation of the expert system for remote fault diagnosis in the ship lift was discussed, and the expert system developed was realized on the VPN virtual network. The system was applied to the Gaobaozhou ship lift project, and it ran successfully.
ABSTRACT
In this paper an expert system for remote fault diagnosis in the ship lift was developed by analysis of the fault tree and combination with VPN. The fault tree was constructed based on the operation condition of the ship lift. The diagnosis model was constructed by hierarchical classification of the fault tree structure, and the inference mechanism was given. Logical structure of the fault diagnosis in the ship lift was proposed. The implementation of the expert system for remote fault diagnosis in the ship lift was discussed, and the expert system developed was realized on the VPN virtual network. The system was applied to the Gaobaozhou ship lift project, and it ran successfully.
ABSTRACT
This paper introduces a typical network framework based on VPN.With emphasis on network's security and stability,it describes how to construct a remote network based on Internet with VPN by focusing on such facts as security,service quality and expansion,etc.Finally,some natures about VPN both in technique and security are shown.