Information interception method, device and system

Abstract

The embodiment of the invention discloses an information interception method. The information interception method includes receiving content ciphertext data and identification ciphertext data sent by a client; detecting whether information indicated by the content ciphertext data is harassing information or not if the combination number of the received content ciphertext data and the identification ciphertext data is detected to reach a preset threshold value; if so, indicating the client to intercept the information. The embodiment of the invention also discloses a detecting terminal, a client and an information interception system. The information interception method, the detecting end, the client and the information interception system can effectively and timely intercept spam messages of mass texting and are simple in the method.

Description

Technical field [0001] The present invention relates to the field of information technology, in particular to an information interception method, device and system. Background technique [0002] With the rapid development of mobile communication services, mobile phones have become an indispensable communication tool in people's daily lives. As one of the key information transmission methods between mobile terminals such as mobile phones, short messages have been widely used, bringing great convenience to people. However, attracted by a large number of users who use short messages, some criminals attempt to seek profits through a large number of advertising short messages, fraudulent short messages and other spam short messages, causing great harassment to users. [0003] Currently, some spam messages can be intercepted through the interception client on the mobile phone. When the client detects spam messages, it uses preset local rules to detect spam messages and intercepts messa...

AI Technical Summary

Problems solved by technology

However, this method only judges the rules locally and has strong limitations. It is easy for criminals to easily evade the keyword matching detection rules, such as adding special symbols between keywords or replacing them with homophones, etc.

Moreover, most of the spam messages are sent in bulk through SMS mass senders. If you wait until a large number of users report and then modify the interception rules and push the rules to the local area, the mass spam messages may have already been sent, so the spam messages cannot be blocked in a timely and effective manner.

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