Mobile phone spam SMS filtering method and system based on naive Bayesian classification

Abstract

The invention provides a Naive Bayesian classification based mobile phone spam short message filtering method and system. The system comprises a message intercepting module, a cache, a blacklist filtering module, a keyword filtering module and an intelligent Naive Bayesian classification filtering module. The message intercepting module is used for intercepting newly received short messages; the blacklist filtering module is used for filtering the new short messages according to a preset blacklist; the keyword filtering module is used for filtering the new short messages on the basis of preset keyword pairs; the intelligent Naive Bayesian classification filtering module is used for calculating probability that whether the new short messages are spam short messages or not by adopting a Naive Bayesian algorithm on the basis of a pre-trained feature word bank, and judging the new short messages as the spam short messages if the probability ratio exceeds a preset threshold, and as normal short messages otherwise. By the Naive Bayesian classification based mobile phone spam short message filtering method and system, through combination of the blacklist, the keywords, Naive Bayesian classification technology and Chinese word segmentation technology, the short messages are judged whether to be the spam short messages or not intelligently, so that the spam short messages are filtered.

Description

technical field [0001] The present invention relates to the technical field of communication, in particular to short message processing technology, in particular to a method and system for filtering mobile phone spam short messages based on naive Bayesian classification. Background technique [0002] With the rapid development of mobile communication technology and the rapid increase of mobile phone penetration rate, the utilization rate of mobile phone short messages is increasing rapidly. Short message service is becoming an important communication and way of communication. In the process of rapid development of mobile short message service, on the one hand, it has brought various conveniences to users; Life. Therefore it is very necessary to filter out these spam messages. [0003] Through the analysis of the short message business structure, short messages are stored and forwarded through the short message service center, and then sent to the user's mobile phone. The...

AI Technical Summary

Problems solved by technology

The short message center has not yet provided a good spam filtering mechanism, and the client still receives spam and fraudulent text messages uninterruptedly, and even property damage and personal injury occur because of these text messages

Therefore, it is necessary to implement filtering of spam messages in mobile terminals, but some existing mobile phone software uses blacklist technology to filter spam messages, which has limited functions and cannot realize intelligent identification and filtering of spam messages. Especially for spam text messages and scam text messages with disturbing characters

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