Short message monitoring system and method

Abstract

A system and a method for short message monitoring are provided, in the system, the interface unit (1) is used for weighting the arbitrating results after being matched returned by each arbitrating unit (2) and judging whether the blur short message is the short message of breaking the rule; the arbitrating unit (2) is used for obtaining the blur short message transmitted by the interface unit (1), matching different kinds of arbitrating rules with blur short message respectively and returning each arbitrating result after being matched to the interface unit (1). The method for short message monitoring includes that: the arbitrating unit (2) matches different kinds of arbitrating rules with blur short message respectively, and returns each arbitrating result after being matched to the interface unit (1); the interface unit (1) weights each arbitrating result after being matched; if the arbitrating result is less than the preset first threshold, the blur short message is judged as the short message of breaking the rule. The system and the method of the invention improve the monitoring ability for the blur short message.

Description

technical field [0001] The invention relates to short message monitoring technology, in particular to a short message monitoring system and method based on machine learning arbitration results. Background technique [0002] At present, various monitoring systems have been fully used in various fields such as SMS monitoring and MMS monitoring, including spam SMS monitoring systems. It should be pointed out here that SMS can also be called short messages. Most short message spam monitoring systems realize the monitoring of short message spam based on the set limited keywords and the monitoring rules of traffic statistics counting, for example, when the set traffic counting is reached, it is determined that the current short message is a short message spam. [0003] With the development of the times, the behavior and content of users sending messages have undergone great changes, presenting the characteristics of diversification and complexity. The monitoring rules that only re...

AI Technical Summary

Problems solved by technology

[0003] With the development of the times, the behavior and content of users sending messages have undergone great changes, presenting the characteristics of diversification and complexity. The monitoring rules that only reflect simple logic based on existing traffic and limited keywords are Unable to correctly judge whether a short message is a spam short message

Here, through the existing monitoring rules such as traffic rules and simple keyword rules, suspicious messages that cannot correctly determine whether they are spam short messages are called fuzzy short messages.

If the number of keywords is continuously increased without an upper limit to improve the monitoring ability of fuzzy short messages, it will greatly affect the real-time performance of the monitoring system

At present, there is no effective solution for how to effectively determine whether the fuzzy short message is a spam short message, and realize the monitoring of the spam short message

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