Malicious number mark recognition method based on block chain

Abstract

The invention relates to a malicious number mark recognition method based on a block chain. The method comprises the following steps: a public fraud number block chain is formed by mutually associating multiple alliance chain nodes, the user judges whether a phone number answered by the current mobile phone is a fraud phone according to the call content after answering a phone; when the answered phone is the fraud phone, the user generates mark information for the malicious number and sends the mark information to the associated alliance chain node; the alliance chain node counts the mark information and writes the set of the acquired mark information into the block at fixed time, thereby obtaining the block data of the alliance chain node and forming a block head to add on the public fraud number block chain, wherein the public fraud number block chain is the de-centered database and tamper-resistant, and only the adding can be performed; the public fraud number block chain is traceable and capable of possessing the time sequence certificate; the propagation of each number mark information in the alliance chain adopts the distributed structure, the update speed is fast, and the data security is greatly improved.

Description

technical field [0001] The present invention relates to the field of mobile Internet security, in particular to the field of block chain application technology, and in particular to a method for identifying malicious number marks based on block chain. Background technique [0002] At present, telecommunications fraud methods emerge in endlessly, and various sales harassment calls and personal information are stolen from time to time. Now we generally install a certain manufacturer’s software on the mobile phone, and then prompt when there is a call. At present, these Security software that prevents harassment requires database support, but the data between manufacturers is not synchronized in time, and the maintenance and data services of software manufacturers are constantly needed to continuously improve its functions. In a limited number of situations, it is difficult to fully prevent, and the authenticity of the data cannot be guaranteed, and the data may be tampered wit...

AI Technical Summary

Problems solved by technology

[0002] At present, telecommunications fraud methods emerge in endlessly, and various sales harassment calls and personal information are stolen from time to time. Now we generally install a certain manufacturer’s software on the mobile phone, and then prompt when there is a call. At present, these Security software that prevents harassment requires database support, but the data between manufacturers is not synchronized in time, and the maintenance and data services of software manufacturers are constantly needed to continuously improve its functions. In a limited number of situations, it is difficult to fully prevent, and the authenticity of the data cannot be guaranteed, and the data may be tampered with

Images