We architect and deploy custom smart contracts that form the backbone of your Web3 application. Our process delivers audit-ready code in 2-4 weeks, ensuring your core logic is secure and efficient from day one.
LABS
Services
IoT Micropayment Fraud Detection System
A hybrid on-chain and off-chain analytics platform with anomaly detection and automated smart contract rules to identify, flag, and prevent fraudulent micropayment activity within IoT device networks.
Chainscore © 2026
overview
CORE ENGINEERING
Smart Contract Development
Secure, production-ready smart contracts built for speed and scale.
We write code that protects your assets and your users, with zero tolerance for vulnerabilities.
- Protocol Development: Custom
ERC-20,ERC-721, andERC-1155tokens, DeFi primitives, and governance systems. - Security-First: Built with OpenZeppelin standards and rigorous internal review before external audit.
- Gas Optimization: Every contract is optimized for minimum execution cost, critical for user adoption.
- Full Lifecycle Support: From architecture and development to deployment, verification, and ongoing maintenance.
key-features-cards
REAL-TIME DEFENSE
Core Detection & Prevention Capabilities
Our multi-layered system identifies and blocks IoT micropayment fraud at the transaction, device, and network level, securing your revenue and user trust.
01
Anomaly Detection Engine
Machine learning models analyze transaction patterns, device behavior, and network signals to flag anomalies in real-time, reducing false positives by over 95%.
< 100ms
Detection Latency
> 95%
False Positive Reduction
02
Device Fingerprinting & Reputation
Unique, immutable identifiers and behavioral scoring for every IoT device. Block transactions from compromised or spoofed hardware based on a continuously updated reputation ledger.
99.9%
Identifier Accuracy
Real-time
Reputation Updates
03
Sybil Attack Prevention
Detect and prevent coordinated fraud from botnets and fake device clusters using on-chain and off-chain graph analysis, protecting against wallet draining and spam.
> 99%
Attack Block Rate
Sub-second
Cluster Analysis
04
Smart Contract Rule Engine
Deploy custom, gas-optimized logic for transaction validation, velocity limits, and geo-fencing. Rules are enforceable on-chain with full audit transparency.
Solidity 0.8+
Security Standard
< 2 weeks
Custom Rule Deployment
06
Automated Incident Response
Pre-configured playbooks automatically quarantine suspicious devices, freeze funds for review, and alert your security team via Slack, PagerDuty, or webhook.
24/7
Automation
< 30 sec
Mean Time to Respond
benefits
DELIVERABLES
Business Outcomes: Protect Revenue & Scale with Confidence
Our IoT Micropayment Fraud Detection System delivers measurable results, from immediate fraud reduction to long-term infrastructure scalability. We provide the technical foundation for secure, high-volume transactions.
01
Real-Time Fraud Prevention
Deploy a custom detection engine that analyzes transaction patterns across millions of IoT devices, blocking fraudulent micropayments before they settle. Reduces false positives to maintain user experience.
>95%
Fraud Detection Rate
<100ms
Decision Latency
02
Secure Smart Contract Framework
Gas-optimized, audited payment contracts built on Solidity 0.8+ with OpenZeppelin libraries. Implements secure withdrawal patterns and multi-signature controls for treasury management.
Zero
Critical Vulnerabilities
30-50%
Gas Cost Reduction
03
Scalable Transaction Infrastructure
Architected for high throughput with horizontal scaling. Supports millions of concurrent device sessions and processes transactions with sub-second finality on L2s like Arbitrum or Polygon.
10k+
TPS Capacity
99.9%
Uptime SLA
04
Comprehensive Audit & Monitoring
End-to-end observability with real-time dashboards for transaction flow, fraud alerts, and system health. Integrates with SIEM tools and provides forensic data for compliance.
24/7
Alerting
<5 min
Mean Time to Detect
05
Regulatory & Compliance Ready
Designed with privacy-by-default principles (GDPR, CCPA) and audit trails for financial reporting. Architecture supports integration with KYC/AML providers for regulated use cases.
SOC 2
Framework
Immutable
Audit Logs
06
Rapid Deployment & Integration
Modular system with well-documented APIs for your existing IoT platform. We handle the blockchain complexity, enabling you to go live with a production-ready system in weeks.
2-4 weeks
To Production
REST & WebSocket
API Support
Start Simple, Scale with Confidence
Phased Implementation Tiers
Choose the right level of support for your IoT micropayment fraud detection system, from initial deployment to full-scale enterprise operations.
| Capability | Proof-of-Concept | Production-Ready | Enterprise Scale |
|---|---|---|---|
Fraud Detection Engine | Basic Rule-Based | AI/ML Anomaly Detection | Custom AI Models & Real-Time Learning |
Supported IoT Protocols | MQTT, HTTP | MQTT, HTTP, CoAP, LoRaWAN | All Major Protocols + Custom Integrations |
Transaction Volume | Up to 1K/day | Up to 100K/day | 1M+ daily transactions |
On-Chain Settlement | Ethereum Testnet | Ethereum, Polygon, Arbitrum Mainnets | Multi-Chain with Custom Bridging |
Alerting & Dashboard | Basic Logs | Real-Time Dashboard & Email Alerts | Custom SLA Dashboard & PagerDuty/Slack Integration |
Smart Contract Audit | Automated Scan | Manual Review + Automated | Full Formal Verification & Quarterly Audits |
Implementation Timeline | 2-4 weeks | 6-8 weeks | 8-12 weeks |
Ongoing Support | Community | Business Hours (9-5 EST) | 24/7 Dedicated SRE & On-Call |
Response Time SLA | N/A | Next Business Day | < 1 Hour Critical, < 4 Hours High |
Starting Investment | $25K | $75K | Custom (Contact for Quote) |
how-we-deliver
A PROVEN 4-PHASE APPROACH
Our Implementation Methodology
We deliver a production-ready IoT fraud detection system through a structured, transparent process designed for technical teams. Each phase has clear deliverables, timelines, and measurable outcomes.
01
Phase 1: Threat Modeling & Architecture
We analyze your IoT ecosystem and transaction patterns to define fraud vectors. Deliverables include a comprehensive threat model, system architecture diagram, and a prioritized feature roadmap for the detection engine.
2-3 weeks
Delivery Time
10+
Fraud Vectors Mapped
02
Phase 2: Smart Contract & Oracle Development
We build the core on-chain logic for micropayment settlement and fraud adjudication. This includes custom, gas-optimized smart contracts and secure oracles for real-time IoT data verification.
4-6 weeks
Development Sprint
OpenZeppelin
Security Foundation
03
Phase 3: ML Engine Integration & Testing
We deploy and train the machine learning models for anomaly detection, integrating them with your IoT data streams. The phase concludes with rigorous on-chain and off-chain simulation testing against known attack patterns.
3-4 weeks
Integration Window
>95%
Detection Accuracy Target
04
Phase 4: Deployment & Monitoring
We handle the mainnet deployment, configure real-time dashboards for fraud alerts, and establish SLAs for system monitoring and maintenance. You receive full documentation and operational handover.
1-2 weeks
Go-Live Period
24/7
Monitoring
security-approach
FULL-STACK INFRASTRUCTURE
Custom Blockchain Development
End-to-end blockchain solutions for startups and enterprises, from core protocol to production deployment.
We architect and build custom blockchain networks, sidechains, and L2 solutions tailored to your specific throughput, cost, and governance requirements. Our full-stack approach delivers a production-ready system, not just a proof-of-concept.
- Protocol Design: Consensus mechanisms (
PoS,PoA), tokenomics, and governance models. - Node Infrastructure: High-availability validator sets, RPC endpoints, and block explorers.
- Deployment & DevOps: Automated CI/CD, monitoring with
Prometheus/Grafana, and 99.9% uptime SLAs.
Go from whitepaper to mainnet in 8-12 weeks with a battle-tested, audited foundation.
Our development integrates enterprise-grade security from day one, using formal verification for critical logic and comprehensive audit trails. We ensure interoperability with existing EVM-compatible ecosystems and legacy systems via secure bridges and oracles.
Technical & Commercial Considerations
IoT Fraud Detection: Key Questions
Common questions from CTOs and product leaders evaluating blockchain-based fraud detection for IoT micropayments.
We deliver a production-ready MVP in 4-6 weeks for standard integrations. The timeline includes 1 week for threat modeling, 2-3 weeks for core development and smart contract audits, and 1-2 weeks for integration and testing. Complex deployments with custom ML models or multi-chain support may extend to 8-10 weeks.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall