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Related Experiment Videos

Risk-adaptive transaction security framework integrating hybrid anomaly detection, post-quantum cryptography and

Hariharan M1, Nesetha J C1, Abdul Quadir Md2

  • 1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India.

Scientific Reports
|June 29, 2026
PubMed
Summary

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This summary is machine-generated.

This study introduces a risk-adaptive framework for digital payment security, enhancing fraud detection with intelligent, continuous risk assessment. It ensures robust security for high-risk transactions while minimizing overhead for low-risk ones.

Area of Science:

  • Cybersecurity and Cryptography
  • Financial Technology (FinTech)
  • Intelligent Systems

Background:

  • Current digital payment fraud detection relies on isolated systems and traditional methods, insufficient for evolving threats and post-quantum security.
  • Existing approaches lack holistic trust evaluation and dynamic adaptation to complex fraud patterns.
  • Stringent latency and reliability constraints challenge traditional fraud detection in modern payment systems.

Purpose of the Study:

  • To propose an end-to-end, risk-adaptive transaction security framework for digital payments.
  • To reconceptualize fraud detection as a dynamic, continuous security process.
  • To enhance trust, auditability, and long-term security against evolving and post-quantum threats.

Main Methods:

Keywords:
Adaptive key managementAnomaly-guided detectionAssurance scoringDynamic authorizationRisk-aware systemsTransaction security

Related Experiment Videos

  • Hybrid Anomaly-Guided Adaptive Detection (HAGAD) integrating supervised prediction, unsupervised anomaly detection, and temporal analysis.
  • Dynamic risk scoring to govern Adaptive Key Ratcheting (AKR), risk-triggered association quorums, and post-quantum threshold signing.
  • Selective use of permissioned blockchain and an Adaptive Assurance Scoring (AAS) mechanism for trustworthiness evaluation.

    • Main Results:

    • The framework achieves high reliability with balanced precision and recall.
    • Enhanced security mechanisms are activated adaptively based on transaction risk, avoiding overhead for low-risk transactions.
    • Demonstrates robust decision validation and efficient resource utilization.

    Conclusions:

    • The proposed framework provides an integrated, risk-adaptive pipeline for next-generation electronic payment systems.
    • It unifies intelligent detection, advanced cryptography, auditability, and assurance evaluation for resilient security.
    • Establishes a future-ready foundation for secure digital transactions against emerging threats.