Pseudo base station detection method and system based on big data and cloud computing

Abstract

The invention discloses a pseudo base station detection method and a pseudo base station detection system based on big data and cloud computing. The method comprises the steps that 1, after receiving a message, each mobile terminal judges that whether the message is a notice message or an undetermined message, and if yes, uploads the message and the own space position information of the terminal to a cloud platform; 2, the cloud platform works out the sending position points of the messages via a big data clustering algorithm according to the collected notice message or undetermined message and the position information sent by each mobile terminal at regular time intervals; and 3, the obtained position points are compared with base stations in a base station map, the positions of the actual base stations are removed, and thereby residual positions are the positions of the pseudo base stations. Compared with the prior art, the pseudo base station detection method fully plays the technical advantages of big data and cloud computing, can rapidly and effectively monitor the pseudo base stations, and is excellent in performance and easy to implement.

Description

technical field [0001] The present invention relates to the field of communications, in particular to a method and system for detecting pseudo-base stations based on big data and cloud computing. Background technique [0002] In recent years, illegal activities such as text message fraud and personal information theft by fake base stations have become increasingly rampant, and have attracted the attention of relevant government management departments and telecom operators (such as China Telecom, China Mobile, China Unicom, etc.). "Pseudo base station" equipment is generally composed of a host computer and a notebook computer. Through SMS group senders, SMS transmitters and other related equipment, mobile phone card information centered on it and within a certain radius can be searched. By disguising as the operator's base station, Falsely using other people's mobile phone numbers or public service numbers to forcibly send short messages such as scams, advertising promotions,...

AI Technical Summary

Problems solved by technology

When the pseudo-base station device is running, the paging signal of the user's mobile phone is forced to connect to the device, resulting in the mobile phone not being able to use the services provided by the operator normally, and the mobile phone user will usually temporarily leave the regular network for 8 to 12 seconds before returning to normal

Moreover, it will also cause mobile phone users to update their location frequently, which will make the wireless network resources in this area tense and cause network congestion, which will affect the normal operation of the communication network

[0003] At this stage, there is no active means for the monitoring of pseudo base stations. At present, basically, mobile operators can only rely on mobile operators to transfer certain monitoring and direction-finding equipment to the location of the incident for monitoring and direction-finding investigation after receiving complaints from users. Due to the strong liquidity of pseudo base stations , when the staff of the radio management and maintenance committee or the operation and maintenance personnel of the operator rush to the incident site, the pseudo base station may have moved, which brings great difficulties to the investigation work, so the efficiency is low and the response speed is slow. Generally, at least Half an hour to an hour to know

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