Design And Implementation Of Illegal Text Real-time Filtering System Based On Android Platform

The information filtering system is used to reduce the spread of illegal information.The current information filtering system mainly uses powerful server clusters to deploy efficient pattern matching algorithms and large-scale sensitive lexicons,with high complexity.However,in the context of mobile network communications,it is more effective to deploy corresponding information filtering on mobile terminals for specific tasks and confidential communications.However,considering the limited resources of mobile terminals and the requirements of low power consumption,it is necessary to study adaptive information filtering systems and technologies.This thesis designs and implements a mobile terminal information filtering system based on the Android platform,which can effectively filter illegal and sensitive information and reduce the overhead burden of mobile terminals.The main work is as follows:1.Aiming at the resource overhead problem caused by the deployment of information filtering in mobile terminals,this thesis designs a terminal information filtering scheme optimized for resource overhead.First of all,the information filtering function module is added based on the input method application provided by the terminal to avoid the additional increase of the information filtering process and the resource overhead burden on the terminal.Then,a pattern matching algorithm with higher space utilization is adopted to further reduce resource overhead.2.In order to reduce the sensitive lexicon required for filtering to occupy the memory resources of the mobile phone terminal,a personalized sensitive lexicon update and maintenance scheme for users is designed.First,establish a perfect central thesaurus through the server,and then record and analyze the information output by the terminal to count the high-frequency sensitive words used by users.Then,based on the frequency data,we eliminate the uncommon word sets,so as to create a personalized and efficient word set for the user,and issue it to the mobile phone user terminal to complete the update of the sensitive vocabulary,ensuring the concise and efficient lexicon of the mobile terminal.3.Designed and developed a mobile terminal information filtering prototype system based on the Android platform,and realized iterative update of personalized filtering sensitive thesaurus based on user behavior analysis.The memory resources of the mobile terminal only need tens of megabytes,and the filtering response time is only hundreds of milliseconds,which does not affect the fluency of the end user.The experimental results of system function and performance tests show that the information filtering system designed in this thesis can effectively reduce the resource overhead of terminal equipment and has an accuracy rate of more than 90%.The mobile terminal information filtering system designed in this thesis has good deployment convenience,fast filtering response and small resource overhead,and can be applied to specific places and environments with high confidentiality requirements.