The Design And Research Of The Security And Architecture For Decision Support Platform Of The Rural Toursim Industry

In recent years, the rural leisure tourism industry is developing rapidly. With the high speed development of this industry, the higher requirements are also be proposed.A decision support platform of leisure industry was built to support the construction and management of the local industry by using the big data technology and the integration of information from local real-time traffic, internet and the official information.In this thesis, the key technologys of this platform will be studied,the main contents include: the analysis and study of this platform's architecture, the improved model of short-term traffic forecasting on rural leisure industry and the improved plan of the webpage tamper-proof.First, the overall architecture of this platform will be analyzed, and the main components of this platform will be introduced which include:the model of short-term traffic forecasting on rural leisure industry and the improved plan of the webpage tamper-proof.Then, the research on traffic prediction will be done by analyzing the change rules in the tourism industry and studying the mainstreamm of forecasting model for traffic prediction.An optimized scheme will be put forward by optimizing the weights of solutions to ehance the effect of the SEA(Seasonal Exponential Adjustm) through analysis ing the theory of the SEA.The improved scheme is verified through the theoretical analysis and simulation experiment.Finally, an efficient architecture of page tamper-proof was designed and realized to protect the security of this platform by studying the main stream technology of the page tamper-proof and analysising the security of this platform.