Terminal and method and device for terminal to identify pseudo base station

Abstract

The invention discloses a method for a terminal to identify a pseudo base station. A terminal detects a signal value of a base station to be accessed and / or whether the base station supports a voice function; and when the signal value of the base station exceeds a base station signal range of a cell where the base station is located and / or the base station does not support the voice function, the base station is determined as a pseudo base station. The invention further discloses the terminal and a device for the terminal to identify a pseudo base station.

Description

technical field [0001] The invention relates to mobile communication security technology, in particular to a terminal and a method and device for identifying a pseudo-base station. Background technique [0002] At present, many criminals use fake base stations to carry out illegal and criminal activities, destroying or interfering with normal communication. But there are only two ways to solve the pseudo base station problem: [0003] One way is to detect and locate the fake base stations, and then ban them. However, this method cannot completely solve the problem, because the fake base stations have fixed positions and some move. It is possible to locate and ban all pseudo base stations, especially for mobile pseudo base stations, it is difficult to track and locate. This method is usually used when operators, specialized organizations or departments use professional equipment or tools to clean up and rectify pseudo base stations. [0004] Another way is to automatically...

AI Technical Summary

Problems solved by technology

This method has the following problems. First, the condition of using a pseudo base station to send text messages is not sufficient, because the pseudo base station may not only be an act of sending malicious text messages, especially in the future, it may also be used for signal interference or other malicious acts; The second is that receiving SMS is passive, instead of actively detecting fake base stations, the efficiency is poor, and the actual effect of this method is that spam information has been generated on the terminal, which will still affect users; third, the preset rules for SMS Formulated, the algorithm is relatively complex, and the characteristics of the pseudo base station SMS may change and update dynamically, the corresponding algorithm must also be updated or have self-learning ability, and the implementation cost is high

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