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Cybersecurity & Privacy · Advanced

Privacy-preserving analytics for a student app

SEC-09 · Original hackathon problem statement from Arventiq Labs

The problem

Institutions want usage insights, but collecting raw behaviour data creates privacy risk and legal exposure.

What to build

Design an analytics pipeline that gives useful aggregate insights using techniques such as differential privacy while avoiding individual-level storage.

Success looks like

Aggregate reports with documented privacy budgets and a demonstration that individuals cannot be singled out.

Suggested technologies

  • Differential privacy
  • Aggregation
  • Data minimisation
  • Consent
  • Privacy audits

An original, independent statement. It is not an official Smart India Hackathon problem statement, and Arventiq Labs is not affiliated with or endorsed by that programme. The scenario is illustrative and does not describe any specific organisation. Free to use with credit.