Rubbish short message recognition system and method based on sending behavior

Abstract

The invention relates to a spam short message identification system and a method for the same based on the sending behavior. The method comprises: judging the type of the doubtful short message according to the hashed value, the length of the short message, and the amount of the short message having the same hashed value; recording the calling number that sends the short message according to the short message that belongs to the doubtful one, or, undergoing treatment respectively according to whether the calling number appears for the first time; if the amount of the short message of the type of the doubtful short message is accorded with the preset value, acquiring all the calling numbers associated with the type of the doubtful short message; if the difference between the amount of the different hashed value associated with all the calling numbers and the amount of the calling number is not greater than the preset value, the doubtful short message is spam short message. The invention can ensure that the spam short message received by the short message centre can be identified efficiently with real time, and implement real-time interception for the spam short message.

Description

technical field [0001] The invention relates to the field of spam short messages, in particular to a spam short message identification system and method based on sending behavior. Background technique [0002] In recent years, the flooding of spam messages has intensified, and almost every mobile phone user has been harassed by spam messages. According to the survey results released by the Internet Society of China, mobile phone users in my country receive an average of 8.29 spam messages per week. [0003] Spam SMS can be divided into two modes according to the way it is sent. One is to use the short message gateway of the mobile operator to send. When the user receives the short message, the sending number displayed is the access number of the short message. Not the mobile phone number of an ordinary user. The spam short messages sent by this method have the characteristics of fast speed, simple operation, and the need for the operator's permission. Most of the short mes...

AI Technical Summary

Problems solved by technology

But its disadvantages are 1) The rules are all manually specified, requiring people to constantly discover, summarize and update, and pay a large maintenance cost

2) It is difficult to select rules, and it is difficult to judge the legality of short messages only by keyword matching, so it is easy to cause misjudgment; 3) Spammers can easily bypass the rule list by using pinyin or homonyms

The disadvantage of this mechanism is that it adopts an offline processing method, and there is a time difference (more than 15 minutes) from sending a short message to bill collection. SMS spam

[0017] The above-mentioned identification technology has the following disadvantages: 1) The content identification mechanism needs to pay a large maintenance cost, requires users to continuously update the rule base or training set, cannot discover new spam features, is difficult to identify local variations of spam messages, and violates user Privacy; 2) Black and white list technology has limited recognition ability; 3) Short message traffic statistics technology and bill analysis technology have poor real-time performance

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