<R&D> Fraud Scenario Identification and Mitigation Analysis for MOSIP

[Varaniya201]

Objective

Execute a POC to systematically identify fraudulent scenarios applicable to the MOSIP platform, evaluate how the current setup already mitigates them, and surface additional real-world fraud vectors that are not yet adequately addressed. For each newly identified gap, the team should propose a viable mitigation approach.

Background / Context

MOSIP, as a foundational identity platform, already incorporates controls against a wide range of fraudulent activities across enrollment, authentication, and credential issuance flows. However, fraud techniques evolve continuously, and real-time/production deployments expose threat patterns that may not be fully covered by existing safeguards. This POC is intended to validate the current fraud-handling posture and extend it where relevant to operational, real-time scenarios.

Scope

In scope:

• Review of fraud-prone touchpoints across MOSIP modules — registration/enrollment, deduplication (ABIS), authentication (IDA), credential issuance, and operator/partner-facing workflows.
• Cataloguing of fraud scenarios that MOSIP currently handles, with reference to the controls in place.
• Identification of additional, real-time-relevant fraud scenarios not sufficiently covered today.
• High-level mitigation proposals for each identified gap.

Out of scope (for this POC):

• Full implementation / productionization of proposed mitigations.
• Performance or load testing.

Key Activities

1. Analyse the existing MOSIP setup and document the fraud scenarios already addressed and the corresponding controls (e.g., biometric deduplication, presentation-attack detection, operator authentication, audit trails).
2. Conduct threat analysis to enumerate fraud vectors relevant to real-time operations — for example, synthetic/duplicate identity creation, biometric spoofing and injection, operator collusion or insider fraud, document/breeder-document forgery, replay and session-hijacking during authentication, and identity takeover.
3. Map each identified scenario against current coverage to classify it as: fully addressed, partially addressed, or not addressed.
4. For gaps, propose mitigation approaches (detective and/or preventive), noting where they fit in the MOSIP architecture and any dependencies.
5. Prioritise the proposed mitigations by risk impact and feasibility.

Deliverables

• A consolidated fraud-scenario catalogue (existing coverage + newly identified scenarios).
• A gap analysis with classification of coverage.
• A set of high-level mitigation proposals for the prioritised gaps.
• A summary recommendation on which scenarios warrant follow-up implementation.

Acceptance Criteria

• Existing fraud controls in MOSIP are documented and validated.
• At least a defined set of new, real-time-relevant fraud scenarios is identified and assessed.
• Each unaddressed / partially-addressed scenario has a corresponding mitigation proposal.
• Findings and recommendations are reviewed and signed off by stakeholders.