feat: implement differential privacy for analytics (#407)#548
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RUKAYAT-CODER merged 2 commits intoJun 6, 2026
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- Add Laplace mechanism DP engine (src/utils/differentialPrivacy.ts) - addLaplaceNoise, clip, privatizeCount, privatizeDuration, privateSum - sanitizeProperties strips email/phone/UUID from event properties - privateHistogram for noisy categorical aggregates - Update MobileAnalyticsService to apply DP on every event: - Numeric properties get Laplace noise (ε=1.0 default) - String properties are PII-sanitized before dispatch - configureDifferentialPrivacy() / getDPConfig() for runtime control - Expose privacy controls in useAnalytics hook: - setPrivacyBudget, setPrivacyEnabled, getPrivacyConfig - Add 32 tests covering all DP functions (all passing) - Fix test.yml: npm install → npm ci, add --passWithNoTests
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Summary
Closes #407 — implements ε-differential privacy for analytics to preserve individual user privacy while maintaining aggregate statistical accuracy.
Changes
src/utils/differentialPrivacy.ts(new)Core DP engine implementing the Laplace mechanism:
addLaplaceNoise— inverse-CDF Laplace sampling, ε-DP guaranteedclip— bounds sensitivity before adding noiseprivatizeCount,privatizeDuration,privateSum— typed helpers for common metricssanitizeProperties— redacts emails, phone numbers, UUIDs from event propertiesprivateHistogram— per-bin Laplace noise for categorical aggregatessrc/services/mobileAnalytics.ts(updated)configureDifferentialPrivacy(config)andgetDPConfig()for runtime controlidentifyUsersuppresses userId per DP policysrc/hooks/useAnalytics.ts(updated)Added
setPrivacyBudget,setPrivacyEnabled,getPrivacyConfigmethods.src/__tests__/utils/differentialPrivacy.test.ts(new)32 tests — all passing. Covers statistical unbiasedness, noise calibration, clipping, PII redaction, edge cases.
.github/workflows/test.yml(fixed)npm install→npm ci, added--passWithNoTests.Privacy Approach
Laplace mechanism (ε-DP). Default ε=1.0. Unbiased estimator preserves aggregate accuracy; individual contributions indistinguishable with probability bounded by e^ε.