Analysis of Safety Risks and Compliance Points for Vehicle Data Export

Recently, the Ministry of State Security issued a security alert, pointing out that some foreign mapping companies are using virtual currency rewards to entice domestic personnel to illegally collect sensitive geographic spatial information data. This has raised concerns about data security, especially in the context of the rapid development of DePIN projects. This article takes the Hivemapper project as an example to analyze the data security risks during its operation and proposes suggestions for the compliance construction of related enterprises.

Hivemapper Project Introduction

Hivemapper is a blockchain-based mapping network. Users can collect data by installing dashcams and receive $HONEY tokens as rewards. The project constructs a global map in an innovative way, allowing users to capture images through dashcams and collaboratively build the world map.

The main operating principles of Hivemapper include:

1. Use the dashboard camera to collect map data
2. Participate in AI training games
3. Track the development progress of the map
4. Develop map-related applications using the API

Compared to traditional mapping services, Hivemapper has advantages such as lower costs, faster updates, and higher quality. Users can earn token rewards through the "Drive to Earn" model.

Data Security Risk Analysis

The Hivemapper project may involve the following types of data:

• Personal identification information: Name, ID number, etc.
• Vehicle Information: License Plate Number, VIN Code, etc.
• Location Information: GPS coordinates, driving trajectory, etc.
• Image Information: Street view images, videos, etc.
• Biometric features: voiceprint, facial recognition, etc.
• Behavioral data: driving habits, usage habits, etc.

The cross-border flow of this data may bring multiple risks:

1. Personal information security risks: personal privacy leakage, especially sensitive personal information.
2. Risks of corporate trade secrets: may involve core technology data of automotive companies.
3. National Security Risks: Sensitive geographic information may endanger national security.

From the perspective of the data lifecycle, risks run through various stages such as collection, transmission, storage, and application.

Compliance Suggestions

1. Establish a data classification and grading system to clarify the conditions for data export.

• Classify and grade personal information, important data, etc.
• Formulate corresponding exit management measures
• Focus on sensitive data such as surveying data

2. Establish a data outbound security assessment mechanism

• Establish an evaluation team and develop evaluation systems.
• Develop internal self-assessment tools
• Make good data outbound planning

3. Establish a dynamic risk monitoring mechanism

• Regularly conduct risk assessments
• Stay updated on regulatory policy changes
• Assess the overseas recipient and the local legal environment

In summary, enterprises in the automotive industry should pay high attention to data security compliance issues, starting from institutional construction, organizational guarantee, technical measures, and other aspects, to comprehensively improve the level of data outbound security management.