Design And Implementation Of Mobile Phone Information Interception System

At this stage,based on the widespread application of network technology and the continuous development of communication technology,computer technology has been widely used in various fields of social life and production,people's mobile device update speed is accelerating.In the era of big data,smart phones are not only a communication tool,but also a necessity of people's life and work.SMS messages in mobile phones have gradually become an important channel of communication between people,but after a period of development,the number of spam messages is increasing,seriously affecting the order of people's lives.Spam messages have a great negative impact on people.Some spam messages are important means of telecom fraud.They are used to extract users'accounts and passwords and other information.In recent years,due to the serious phenomenon of spam messages,the central government has issued a series of legal norms to deal with spam messages,but the object of the legal norms has high flexibility,variability and concealment,so the law has not played an obvious role in spam messages,want to solve the problem of spam short The letter must start with information interception.Because of the upgrade and update of modern network technology,information interception software can be installed on smart phones to intercept spam messages on the user side.At present,text technology in computer technology has gradually become a new type of application technology.The application principle of text classification technology is to interpret the text information in the mobile terminal,and judge the type of text according to the results of data interpretation.Bayesian classification is a popular technology in the field of text technology at home and abroad.It relies on Bayesian classification theorem and is also the general term of classification algorithm.Naive Bayes algorithm is widely used in Bayes algorithm.In general,the algorithm regards short message text as the sum of characteristic words,and analyzes the basic attributes of feature words to complete the classification task.This is the most effective recognition method for spam messages.The content of this study is to design a smart classification function of spam SMS interception system,the system's operating carrier is determined as Android system,this study first for the realization of Android system functions and basic attributes are introduced.Then it describes the basic principle and operation flow of Bayesian text classification,and expounds the technical means of word selection included in the text classification process.The next step is to study and discuss the operation steps of the spam message interception system,and establish a digital model according to the analysis results of the system requirements.The overall framework and functional modules of the left rear design system are tested after the design is completed.The research and design of the system can not only realize the functions of information monitoring and spam message interception,but also classify the spam messages.The system will add the final determined spam number to the blacklist and filter the spam messages.At the same time,the system before the design of the user needs are analyzed,the final design of the operation steps and methods are relatively simple,there is no high demand for computer technology users.It is hoped that this design will be a reference for the design work in this field.