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How to prevent private LLM data leakage in edge computing environments?

2025-09-10 1.9 K

Security risk analysis

Models, data, and interactions in edge environments can be exposed to security threats.

Integrated protective measures

  • cryptographic protection
    1) model file encryption; 2) transmission TLS encryption; 3) hierarchical data storage
  • access control
    1) API_KEY parameter setting; 2) IP whitelisting; 3) rate limiting
  • security enhancement
    1) Wasm memory isolation; 2) model runtime sandboxing; 3) least privilege principle
  • Audit trail
    start using--log-prompts --log-statRecording operations

Enhanced Security Recommendations

1) regularly update model signatures; 2) implement model watermarking; 3) deploy anomaly detection; and 4) establish an emergency erasure mechanism.

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