Short message monitoring center and monitoring method

Abstract

This method combines the real-time filter with the call-bill analysis to filter the garbage notes (GN). It raises the intercepting rate of the GN supervision center and lowers the error judgment rate. Its advantages: 1) The Chinese key words adopt the blur-pinyin / keyword matching mould-board technique to effectively clear the interfere info in GN. 2) According to the behavior character of GN, this method regulates dynamically the user trust levels, integrates the Garbage Degree Value of notes to judge the note genus. 3) The parallel real-time filter programs run on the multi-core hardware platform to reduce the influence of the note supervision center on the processing ability of the note business center. 4) The new strategy of note sorting and processing is: letting legal notes pass, intercepting GN, attaching runner's prompt on the question note, then letting it pass. 5) This system adopts Beyes method to learn off-line the note specimen and generates the GN keyword dictionary.

Description

technical field [0001] The invention relates to short message monitoring technology in the field of short message technology, in particular to a short message monitoring center and a monitoring method. Background technique [0002] From 2000 to 2006, my country's SMS business volumes were: 1 billion, 18.9 billion, 90 billion, 137.1 billion, 217.7 billion, 429.6 billion, with an average of 1.2 billion messages sent per day in 2006. Among so many text messages, more than 30% are spam text messages. The so-called spam text messages refer to illegal or advertising text messages that go against the will of the recipient, that the recipient cannot reject, and that hide the true information of the sender. Spam messages not only occupy limited network resources, cause network congestion, ruin the corporate image of operators in the public, but also seriously affect the normal work and life of users. What's more serious, SMS has become a vehicle for criminals to commit crimes. Inci...

AI Technical Summary

Problems solved by technology

[0012] The above research results and beneficial explorations have certain reference and reference value, and their shortcomings can be summarized as follows: the effectiveness of introducing wildcard fuzzy matching technology in keywords needs to be improved; no attention has been paid to the obvious behavioral characteristics of spam text messages, especially the content of text messages Consistent with this element; short message monitoring center real-time filtering of problems that affect the processing capacity of short message service center, lack of corresponding technical measures; compared with misjudgment of legitimate short messages and spam short messages, the former brings greater losses to users Operators have also caused more troubles, which lack corresponding processing technologies and strategies that take into account the interests of all parties; the automatic generation technology of keyword dictionaries

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