Abstract: To improve the efficiency of manual detection of illegal and irregular collection of personal information, an APP(Application) personal information evaluation system for illegal and irregular collection is developed based on techniques such as regular expression semantic analysis and machine learning. We conducted illegal and irregular detection on online apps, generated detection algorithms and rules, and focused on solving technical difficulties such as semi automated access to privacy policies, app detection engines, and dynamic sandboxes for custom ROM(Read Only Memory) . The developed prototype system is used to conduct regular technical testing on the apps listed on major application platforms. The testing results show that the system significantly improves the efficiency of comprehensive governance and judgment of illegal and irregular collection of personal information apps, and effectively supports the relevant work of higher-level management departments.

Key words: application( APP) , personal information protection, semantic analysis, machine learning