Analysis And Application Of Spam Sms Filtering Experimental Platform

With the continuous development of wireless network technology, cell phone has become a necessary in people's daily life. Meanwhile, short message service (SMS) as a representative of mobile information service also obtains a rapid development and popularization. Short messages are favorite with numerous consumers, which have the advantages of low price, simple operation and communicating conveniently. However, in recent years the number of spam messages is increasing. Many outlaws use SMS to send advertisements and false information for fraud, which has an influence on people's normal life. And they use SMS to spread rumors and instigate unrest, which affects social stability. And they use SMS to transmit reactionary and pornographic, etc., which endangers public safety.At present, the security problem of mobile phone messages has got the whole society's attention. In order to monitor and filter the short messages'content effectively and limit the spread of harmful messages, in addition to reinforce the management of SMS release in administrative regulations, how to establish the supervisory system of short messages in technology has become an urgent problem to be solved. Therefore, the intelligent technology of monitoring and filtering spam messages is studied and a highly efficient, accurate and reliable text filtering platform is established, which is not only beneficial to social stability and public security and protect the people's property and normal life, but also conducive to ensuring the safety equipment of operators'investment. It is significant that provides a healthy and orderly environment for mobile communication and drives a large number of industries based on message applications.According to transmission process and delivery methods of short messages, the paper discusses two forms of message filtering:short message service center (SMSC) and mobile terminal filtration method. The paper adopts Naive Bayes based on the minimum risk to classify the filtering content, and extracts the real message data and labels the short messages. It combines the new filtering technology with existing technology, and the keywords library, black and white list and classification of the training sample are updated. The filtering system of spam massages is realized and it is experimented and detected. On this basis, the filtering system of spam messages based on the mobile terminal is researched and spam messages filtering simulator is designed. The real phone environment of Symbian system is imitated, and evaluation standards are formulated. The paper realizes the message filtering system. Meanwhile, the system can analyze new information and get the new data after filtering. It also can improve the efficiency of filtering and realize the system self optimization.