anonymize_trajectory_data
CommunityAnonymize sensitive spatiotemporal trajectory data securely
Data & Analytics#data anonymization#k-anonymity#differential privacy#spatiotemporal data#GPS privacy
Authorbettercallfan
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill securely anonymizes sensitive user GPS/check-in data, ensuring privacy compliance and reducing risks before analysis.
Core Features & Use Cases
- Data Anonymization: Anonymizes user IDs and coordinates through hashing, noise addition, and grid generalization.
- Privacy Protection: Implements K-anonymity to protect individual user identities.
- Use Case: Prior to exposing sensitive location data, this Skill can be used to anonymize trajectories to prevent data breaches and ensure compliance with privacy regulations.
Quick Start
Anonymize the trajectory data in 'raw_trajectory.csv' and output to 'output_dir'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: anonymize_trajectory_data Download link: https://github.com/bettercallfan/deerflow/archive/main.zip#anonymize-trajectory-data Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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