Smartphone Information Filtering System Based On Cloud Computing

In recent years,rapid growth of cloud computing has attracted much attention in the IT and academic field. smartphone information filtering system Based on cloud computing which in order to detect and filter Pornographic information, spam messages and telephones in the cloud computing platform, it ensures efficiently and correctly information interaction between servers of cloud platform and client of mobile devices.At present, mobile terminal security detection, filtering and interception technology based on cloud computing architecture is mainly in theory and experiment period,there is not yet a real product which is mature,generic and commercial. there are traditional security softwares like Qin,Jinshan, 360 security guards etc in China,and AVG、Kaspersky、Lookout products in foreign.those products that do detection and filtering task are not in cloud platform but in mobile devices.therefore,security detection architecture based on cloud computing is becoming a main way in the future.In this paper, Pornographic information filtering system based on cloud computing is proposed,the system does most of the work in cloud platform.the research for this topic is practical and innovative,for it’s a hot fileld now.In this paper,we mainly study the filtering technologies of pornographic text and image.Because pornographic image contains lots of bare skin, grade filtering, keyword filtering and URL filtering technologes are not appropriate for it. therefore, a model based on cloud computing platfom of Hadoop Map Reduce and Parallel Support Vector Machine(PSVM) is proposed. the Map Reduce parallel programming model is used to extract the feature of the large scale samples and then train the features. The model can effectively improve learning efficiency and recognition accuracy for Pornographic information filtering.In the end, the main function modules of the smartphone information filtering system Based on cloud computing are achieved, and the system is tested. The system meets the actual needs, and has the strong practicality through the test.