A method and device for clearing private data

Abstract

The embodiment of the invention provides a method for clearing privacy data. The method comprises the steps of receiving a clearing request clicked by a user at a first preset interface position; sending the clearing request to a clearing program for clearing the privacy data according to the clearing request, generating a clearing result and returning the clearing result; showing the clearing result. According to the method, the clearing speed can be increased, the accuracy is improved, the manual operation is reduced, the time consumption is reduced, the read-write life span of a storage medium is prolonged, the cost is lowered, the calculation for clearing the privacy data is reduced, and the clearing efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of file cleaning, in particular to a method and a device for cleaning private data. Background technique [0002] With the popularization of smart terminals, mobile phones are gradually integrated into all aspects of life. For example, using mobile phones to take photos, videos, recordings, etc., mobile phones have become an important carrier of various files. Files can be stored, modified, deleted, etc. in storage media. operate. [0003] The storage medium of the mobile phone has a certain life span of reading and writing. The less the number of times of reading and writing, the longer the life of reading and writing. flag to inform the phone that the file has been deleted. [0004] In addition to storing data in storage media, some communication-related data need to be stored in files in the SQLite database, such as text messages, call records, contacts, etc. When a transaction deletes data from the SQL...

AI Technical Summary

Problems solved by technology

[0006] However, when there are a huge number of SQLite databases that need to clean up private records, manual operations will not be able to meet such a huge demand. Moreover, due to the different privacy records of different SQLite databases, manual operations are prone to errors in identifying private records, resulting in manual operations. The time-consuming is more, the accuracy rate is reduced, the read and write life of the storage medium is reduced, and the cost is increased

[0007] In addition, due to the relatively poor computing power of the mobile phone, the reading speed of the memory card is also relatively slow. If a full scan is performed on the mobile phone, the speed will be relatively slow, and it will take a long time to calculate all the files, resulting in low cleaning efficiency.

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