A method and device for intelligent analysis and processing of large data of spam messages

By employing a dual-layer filtering method and intelligent analysis technology that integrates multiple algorithms, this method identifies and blocks Chinese spam SMS messages, solving the problems of high false positive and false negative rates in traditional methods. This achieves highly efficient spam SMS blocking, improving user security and operator efficiency.

CN122269288APending Publication Date: 2026-06-23GUANGZHOU COLLEGE OF COMMERCE
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGZHOU COLLEGE OF COMMERCE
Filing Date
2026-03-05
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing technologies struggle to effectively identify and block content variations in Chinese spam text messages, resulting in high false negative and false positive rates. Traditional methods are unable to cope with frequent number changes and Chinese character variations, limiting their effectiveness in blocking spam.

Method used

A two-layer filtering method is adopted. First, the initial feature value is assigned based on the feature differences of SMS length, phone number, bank account number and URL. Then, intelligent analysis is carried out by using a variant association library based on 6763 Chinese characters and multi-algorithm fusion to build a spam SMS Chinese character information association library for matching and identification.

Benefits of technology

It significantly improved the accuracy of spam SMS interception, reduced the false alarm rate and the missed detection rate, achieving an interception accuracy of 96.64%, a false alarm rate of 3.36% and a false detection rate of 1.13%, reducing operating costs and improving user information security.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of short message processing, in particular to a method and device for intelligent analysis and processing of big data of spam short messages, the method comprising: judging feature difference of short message content; according to the judging result of feature difference, giving the short message corresponding spam short message feature value, and accumulating the spam short message feature values together to obtain a first spam short message feature value; if the first spam short message feature value exceeds a first preset threshold, intercepting the short message, if the first spam short message feature value does not exceed the first preset threshold, inputting the short message content into a short message content intelligent analysis strategy module to obtain a second spam short message feature value; performing addition accumulation calculation on the first spam short message feature value and the second spam short message feature value to obtain a third spam short message feature value, if the third spam short message feature value exceeds a second preset threshold, intercepting the short message, if the third spam short message feature value does not exceed the second preset threshold, passing the short message. The present application improves short message quality and enhances the image of a telecom operator enterprise.
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