Secure Certificate Verification Via Hybrid Aes-ecc Encryption, Face Biometrics & Blockchain

• Author(s):

  Akkash Deep. V | Ragul. N | Mohammed Gani. H | Saktheeshwaran .M | Dhamodharan. V

• Keywords:

  AES-ECC Encryption, Blockchain, Certificate Verification, Elliptic Curve Cryptography, Facial Biometrics, Grassmann Algorithm, OTP Authentication

• Abstract:

  Digital Certificate Management Faces Persistent Threats Including Forgery, Unauthorised Access, And Data Manipulation. Conventional Centralised Systems Are Vulnerable To Single-point Failures, Poor Scalability, And Weak Identity Verification. This Paper Proposes A Secure Certificate Verification Framework Integrating Three Complementary Layers: Facial Biometric Authentication Using The Grassmann Manifold Algorithm, Hybrid Encryption Combining AES-256 For Bulk File Protection And Elliptic Curve Cryptography (ECC) For Secure Key Management, And A Blockchain-based Decentralised Immutable Ledger For Certificate Storage. One-Time Password (OTP) Delivery And SHA-256 Hash Validation Reinforce Access Control At Every Stage. A Flask-Python Web Prototype Demonstrates End-to-end Certificate Issuance, Encrypted Storage, Biometric-gated Retrieval, And Third-party Verification. The System Eliminates Dependence On Centralised Infrastructure, Provides Tamper-proof Transparency, And Scales Efficiently Across Multiple Institutions.

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Other Details

• Paper id:

  IJSARTV12I4104982

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-13

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