Study On The Technology Of Information Filtering Based On Mobile Network Information Security

In recent years, with the rapid evolution of mobile network, the increasing popularity of intelligent terminals, iterative innovation service mode, the mobile Internet industry is growing at a hitherto unknown speed applications emerge in an endless stream. Aiming at the bad information is increasing day by day, how to conduct effective monitoring of the Internet, maintaining security and stability of the network space, is the problem to be solved, also proposed many solutions. According to the principle of network monitoring method, and then through the analysis of the characteristics of the illegal network information classification and statistics, combined with the method of incremental information in mobile network, it proposes a hybrid filtering model and algorithm based on text content. And the information push technology in combination with information filtering system, so as to realize the information filtering effect and value of effective.The main technical route of this paper is based on the effective monitoring of incremental information in mobile network and classification analysis, combined with the research of hybrid filtering model analysis of network text information based on the proposed algorithm, to solve the key, so as to complete the implementation of the expected research target. The classical filtering model of the Boolean model, probabilistic reasoning model and the vector space model and information filtering methods to do the classification and comparison. Based on the design of a mobile network content filtering system based on vector space model, this filtering system principle analysis done from the system framework, and then introduces in detail the principle and realization process of Chinese segmentation module, feature extraction and weight calculation module, user needs and threshold initialization module, filter module and feedback module, user the. Finally, to recall and precision and correct rate as the index through the experiment proved that this system has a good effect in the text filtering. Finally a brief introduction of push technology in mobile network, and makes a summary and prospect.