Interception method and device of spam messages

Abstract

The invention provides an interception method and an interception device of spam messages and relates to the short message business in mobile communication field. The method comprises steps of obtaining history receiving short message samples including spam messages and non-spam messages and extracting particles from the history receiving short message samples, wherein each of the history receiving short message samples forms a particle characteristic vector comprising multiple particles; calculating weighed values belonging to the spam messages of the particles in the particle characteristic vectors, and when the weighted values are arranged from a big one to a small one, extracting corresponding particles of the Nth weighted value in each of the history receiving short message samples so as to form alternative participle characteristic vectors; and generating rules to intercept the spam messages to intercept the spam messages according to the alternative participle characteristic vectors. In this way, rules to intercept the spam messages can be automatically generated and synchronized to a spam message real-time interception system to intercept the spam messages.

Description

technical field [0001] The invention relates to short message service in the field of mobile communication, in particular to a method and device for intercepting spam short messages. Background technique [0002] With the expansion of communication services, short message services are more and more widely used. However, spam text messages have also emerged, and a large number of unscrupulous businesses send advertisements and fraudulent information through the text message platform. Therefore, the operator generally intercepts the spam message by means of the spam message interception system. The existing junk message interception system intercepts based on keyword rules, that is, as long as the message meets the keyword rules, the message is blocked. The keywords are manually entered by manpower, which brings two problems: 1) a lot of manpower and material resources need to be wasted to maintain the keyword rules, which increases the labor cost; 2) the keyword rules are r...

AI Technical Summary

Problems solved by technology

The keywords are manually entered by manpower, which brings two problems: 1) a lot of manpower and material resources need to be wasted to maintain the keyword rules, which increases the labor cost; 2) the keyword rules are relatively fixed after setting , while spam text messages are ever-changing, and the sender slightly changes the content of the text message, which will cause the original keyword rules to become invalid

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