Анонимизация и псевдонимизация данных

Anonymization и pseudonymization — techniques защиты PII, requirement GDPR и best practice для privacy.

Definitions

Anonymization: irreversible removal identification. Data больше не PII после. Pseudonymization: replacement of identifiers, но reversible через key. Still PII под GDPR — protection required. Different implications для compliance и retention.

Techniques

Hashing: SHA-256 email. Reversible: encryption, tokenization. K-anonymity: каждый record indistinguishable среди k others. L-diversity: sensitive attribute diversity в each group. Differential privacy: mathematical guarantees noise addition. Synthetic data: generation с preserved statistics.

iGaming applications

Analytics datasets: pseudonymized user_id вместо email. Research: fully anonymized для sharing. Fraud investigation: reversible pseudonymization с audit. Cross-operator collaboration: anonymized aggregate statistics. Model training: sometimes synthetic data alternative.

Limitations

Anonymization hard: quasi-identifiers могут re-identify. Netflix Prize dataset — famous reidentification. Small samples особо vulnerable. K-anonymity insufficient для all cases. Differential privacy — best technical guarantee но complex. Legal advice recommended.