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SIH26182SoftwareBlockchain & Cybersecurity
₹1,50,000 Prize (₹75k Joint)
•
Deadline: 20 September 2026
•
Submitted Ideas: 0/500

Automated Attribution of Unknown Cryptocurrency Wallets to Nearest Virtual Asset Service Providers (VASPs) through Blockchain Intelligence APIs

Ministry / Organization: Ministry of Home Affairs
Department: Indian Cyber Crime Coordination Centre (I4C),CIS Division
SIH Official Portal
Technical Complexity
8/10
Dataset Accessibility
7/10
36h Hackathon Viability
9/10
Step 0 • Zero-Jargon Layman Summary

“When criminals use cryptocurrencies, law enforcement struggles to figure out which crypto exchange or wallet provider holds the stolen funds because transactions bounce through many unknown intermediate accounts. This software automatically tracks those complex blockchain pathways, links the suspect's money to the exact nearest exchange, and helps officers file legal freeze requests directly through the SAHYOG portal.”

The DecodeX PS Decoder™

Deconstructed Problem Blueprint

Step 1

WHAT TO BUILD?

An automated Blockchain Intelligence and VASP (Virtual Asset Service Provider) Attribution Engine integrated with the I4C SAHYOG Portal via APIs, capable of tracing multi-chain transaction paths and identifying the nearest direct deposit exchange.

Step 2

WHO IS IT FOR?

The primary user is the Indian Cyber Crime Coordination Centre (I4C) under the Ministry of Home Affairs, alongside state and central Law Enforcement Agencies (LEAs) and investigating officers handling cryptocurrency-related financial cybercrimes.

Step 3

WHY DOES IT EXIST?

Current crypto investigations require manual, tedious tracing of blockchain blocks across multiple public ledgers. Investigators often hit dead ends when dealing with unhosted wallets, mixers, cross-chain bridges, and unknown intermediary hops, leading to critical delays in freezing assets before criminals cash out.

Step 4

INPUT → PROCESS → OUTPUT ARCHITECTURE PIPELINE

01 • Inputs & Telemetry

Suspicious cryptocurrency wallet addresses, case metadata from the SAHYOG portal, blockchain node RPC endpoints, and transaction history feeds from multi-chain ledgers (Bitcoin, Ethereum, Tron, BNB Chain, Solana, Polygon).

02 • Processing & AI Core

Graph-based transaction path traversal, heuristic-based cluster identification (hot wallets, mixers, bridges), multi-hop deposit address tracing, risk scoring algorithms, and VASP ownership attribution engines.

03 • Actionable Deliverables

Investigation-ready visual transaction flow graphs, ranked confidence scores for suspected VASPs, automated asset-freezing dispatch tickets, and downloadable compliance-ready reports for LEAs.

Step 5

CONSTRAINTS

  • Must support multi-chain transaction parsing across high-throughput and UTXO-based ledgers.
  • Strict data privacy, evidentiary integrity, and compliance with Indian legal framework for digital evidence handling.
  • API rate limits and transaction gas costs associated with public blockchain RPC providers.
  • Low latency generation of attribution reports for real-time cybercrime intervention.
Step 6

JURY METRICS

  • Accuracy and precision of VASP attribution against known ground-truth cluster datasets.
  • Traversal depth and speed in mapping multi-hop transaction flows across diverse chains.
  • UI/UX simplicity and time-reduction in generating actionable LEA freezing requests.
  • System scalability and resilience under high-concurrency investigative case loads.
Step 7

CORE BOTTLENECK

De-anonymizing funds routed through complex privacy tools like coin mixers, multi-sig decentralized bridges, and cross-chain swaps without incurring exponential computational delays.

Why You Should Choose This PS (Pros)

  • Extremely high national security and real-world utility for the Ministry of Home Affairs.
  • Clear, modular system architecture that allows for rapid feature scaling during a 36-hour hackathon.
  • Strong visual 'wow factor' through interactive graph networks and real-time transaction tracing maps.

Challenges & Risks to Watch (Cons)

  • Requires integration with multiple blockchain APIs or custom node infrastructure which can be flaky.
  • Complex heuristic rules required to cluster exchanges and deposit addresses accurately.
  • Crowded domain if teams rely purely on generic public blockchain explorer tools without proprietary intelligence logic.
Hackathon Blueprint

Recommended Tech Stack & Grand Finale Features

Frontend & Mobile
React.jsTailwind CSSCytoscape.js / D3.js for interactive blockchain graph visualization
Backend & APIs
FastAPI / PythonCelery for asynchronous blockchain graph traversal tasksWebSockets for real-time tracing updates
AI / ML & Models
Graph Neural Networks (GNNs) for wallet clusteringHeuristic-based anomaly detection models for mixer identificationRule-based VASP heuristic matching engine
Database & Cloud
Neo4j / PostgreSQL with graph extensions for transaction network storageRedis for caching RPC responses and live session statesMongoDB for unstructured case reports

Killer Features to Impress the SIH Jury

Interactive Multi-Chain Graph Explorer: Visualizing cross-chain bridges and hop-by-hop fund movements in a single canvas.
Automated VASP Confidence Matrix: Scoring system predicting the exact exchange (e.g., Binance, WazirX, CoinDCX) with percentage certainty.
One-Click SAHYOG Freeze Dispatch: Automatically formatting legal asset seizure requests and routing them to the identified VASP API endpoint.
Mixer & Darknet Heuristic Detector: Instant flagging of privacy-enhancement services used to launder crime proceeds.
View Official SIH 2026 Portal Raw Text
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•Background The rapid adoption of Virtual Digital Assets (VDAs) and decentralized blockchain ecosystems has significantly increased the complexity of cybercrime investigations globally. Law Enforcement Agencies (LEAs) frequently encounter cryptocurrency wallet addresses linked to cyber frauds, ransomware, investment scams, darknet activities, and laundering of crime proceeds.

Under the existing investigation workflow, LEAs raise lawful information disclosure requests through the SAHYOG Portal to Virtual Asset Service Providers (VASPs) such as crypto exchanges, custodial wallet providers, and trading platforms. However, in many cases, the suspect wallet identified during investigations belongs to an unhosted wallet or a wallet for which the associated VASP is unknown. This creates major delays in attribution, freezing of assets, and identification of the beneficial owner.

Blockchain transactions generally pass through multiple intermediary wallets before reaching centralized exchanges. Identifying the 'nearest direct deposit accepting exchange' manually through blockchain analysis is time-consuming and requires specialized expertise.

•Description The proposed system envisages development of an Automated Blockchain Intelligence & VASP Attribution Engine integrated with the SAHYOG Portal through APIs.

The system should:

•Automatically analyze suspect cryptocurrency wallet addresses reported during investigations on the Sahyog Platform
•Automatically trace blockchain transaction paths to identify:

o nearest centralized exchange, o custodial wallet service, o or VASP receiving direct deposits from the suspect wallet.

•Map blockchain of deposit addresses and transaction flows across multiple blockchain networks such as:

o Bitcoin, o Ethereum, o Tron, o BNB Chain, o Solana, o Polygon o and other major chains.

•Support identification of:

o exchange clusters, o hot wallets, o deposit wallets, o mixers/tumblers, o DeFi bridges, o and cross-chain swap services.

•Integrate Sahyog with blockchain intelligence APIs and graph analytics engines.
•Provide automated tagging and confidence scoring for suspected VASPs.
•Generate investigation-ready reports for LEAs.
•Assist investigators in automatically routing lawful disclosure or freezing requests to the correct VASP through the SAHYOG Portal.

The system may additionally support:

•visualization of fund movement,
•cross-chain transaction mapping,
•risk scoring,
•identification of laundering typologies,
•and alerting for high-risk wallets linked to ransomware, darknet, terrorism financing, or fraud ecosystems.
•Expected Solution A software-based blockchain intelligence platform integrated with the SAHYOG ecosystem capable of:
•Automated identification of nearest VASP/exchange linked to unknown wallets.
•API-driven blockchain tracing and attribution support.
•Multi-chain transaction analysis and visualization.
•Real-time generation of investigative intelligence.
•Risk classification of wallets and transaction flows.
•Dashboard for LEAs with case-based analytics and reporting.
•Scalable architecture capable of handling large-volume blockchain transaction analysis.

The solution should aim to:

•reduce investigation time,
•improve asset freezing efficiency,
•enhance attribution capabilities,
•and strengthen cross-border cybercrime investigations involving VDAs