Ciphera: A Decentralised Biometric Identity Framework

• URL: http://arxiv.org/abs/2605.29868v1
• Date: Thu, 28 May 2026 12:52:12 GMT
• Title: Ciphera: A Decentralised Biometric Identity Framework
• Abstract summary: Ciphera is a decentralised biometric identity framework combining privacy-preserving facial recognition, multi-node verification, IPFS-based credential metadata storage, and blockchain-anchored revocation.<n>Results demonstrate the feasibility of decentralised biometric identity while identifying key engineering challenges for production-grade deployment.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Centralised biometric identity systems expose users to single points of failure, opaque verification processes, and irreversible biometric compromise. Decentralised Identifiers (DIDs) and Verifiable Credentials (VCs) offer stronger privacy guarantees, yet their integration with biometric authentication and distributed verification remains insufficiently explored. This paper presents Ciphera, a decentralised biometric identity framework combining privacy-preserving facial recognition, multi-node verification, IPFS-based credential metadata storage, and blockchain-anchored revocation. Evaluated across functional, performance, security, and distributed consistency dimensions, Ciphera achieved an 81% functional success rate, with stable enrolment and authentication but measurable revocation propagation delays and occasional audit-log inconsistencies. Performance testing demonstrated sub-second p95 verification latency of approximately 820ms under concurrent multi-node conditions. Security analysis confirmed strong confidentiality and integrity guarantees, though incomplete liveness detection leaves susceptibility to deepfake and replay attacks. The results demonstrate the feasibility of decentralised biometric identity while identifying key engineering challenges for production-grade deployment.

Related papers

• BIDO: A Biometric Identity Online Authentication Framework [0.0]
  BIDO is a device-free authentication standard that achieves Au- thenticator Assurance Level 2 (AAL2) per NIST SP 800-63B.<n>The generated credentials are non-discoverable (non-resident) Web Authentication (WebAuthn) credentials.
  arXiv  Detail & Related papers  (2026-05-16T09:49:10Z)
• Scalable Secure Biometric Authentication without Auxiliary Identifiers [54.032594016239926]
  We present a new biometric authentication system that provides provable security guarantees against data breaches.<n>Our work is the first to show that real-world scalable privacy-preserving biometric authentication without auxiliary identifiers is feasible.
  arXiv  Detail & Related papers  (2026-04-27T23:55:09Z)
• SIDeR: Semantic Identity Decoupling for Unrestricted Face Privacy [53.75084833636302]
  We propose SIDeR, a Semantic decoupling-driven framework for unrestricted face privacy protection.<n> SIDeR decomposes a facial image into a machine-recognizable identity feature vector and a visually perceptible semantic appearance component.<n>For authorized access, SIDeR can be restored to its original form when the correct password is provided.
  arXiv  Detail & Related papers  (2026-02-04T19:30:48Z)
• Secure and Scalable Face Retrieval via Cancelable Product Quantization [48.58859061524146]
  homomorphic encryption (HE) offers strong security guarantees by enabling arithmetic computations in the cipher space.<n>We propose Cancelable Product Quantization, a highly efficient framework for secure face representation retrieval.
  arXiv  Detail & Related papers  (2025-08-31T10:19:55Z)
• Deep Learning Models for Robust Facial Liveness Detection [56.08694048252482]
  This study introduces a robust solution through novel deep learning models addressing the deficiencies in contemporary anti-spoofing techniques.<n>By innovatively integrating texture analysis and reflective properties associated with genuine human traits, our models distinguish authentic presence from replicas with remarkable precision.
  arXiv  Detail & Related papers  (2025-08-12T17:19:20Z)
• Quantum-Safe Identity Verification using Relativistic Zero-Knowledge Proof Systems [3.8435472626703473]
  Identity verification is essential in sectors like finance, healthcare, and online services to ensure security and prevent fraud.<n>Current password/PIN-based identity solutions are susceptible to phishing or skimming attacks.<n>We explore identity verification through graph coloring-based relativistic zero-knowledge proofs.
  arXiv  Detail & Related papers  (2025-07-18T18:59:19Z)
• Person Recognition at Altitude and Range: Fusion of Face, Body Shape and Gait [70.00430652562012]
  FarSight is an end-to-end system for person recognition that integrates biometric cues across face, gait, and body shape modalities.<n>FarSight incorporates novel algorithms across four core modules: multi-subject detection and tracking, recognition-aware video restoration, modality-specific biometric feature encoding, and quality-guided multi-modal fusion.
  arXiv  Detail & Related papers  (2025-05-07T17:58:25Z)
• ECG Identity Authentication in Open-set with Multi-model Pretraining and Self-constraint Center & Irrelevant Sample Repulsion Learning [6.106335826823355]
  We propose a robust ECG identity authentication system that maintains high performance even in open-set settings.<n>Our method achieves 99.83% authentication accuracy and maintains a False Accept Rate as low as 5.39% in the presence of open-set samples.
  arXiv  Detail & Related papers  (2025-04-25T12:18:51Z)
• Distributed Identity for Zero Trust and Segmented Access Control: A Novel Approach to Securing Network Infrastructure [4.169915659794567]
  This study assesses security improvements achieved when distributed identity is employed with ZTA principle.<n>The study suggests adopting distributed identities can enhance overall security postures by an order of magnitude.<n>The research recommends refining technical standards, expanding the use of distributed identity in practice, and its applications for the contemporary digital security landscape.
  arXiv  Detail & Related papers  (2025-01-14T00:02:02Z)
• Incorporating Zero-Knowledge Succinct Non-interactive Argument of Knowledge for Blockchain-based Identity Management with off-chain computations [0.8621608193534839]
  A novel blockchain-based fingerprint authentication system is proposed that integrates zk-SNARKs. The proposed method has the potential to provide a secure and efficient solution for blockchain-based identity management.
  arXiv  Detail & Related papers  (2023-10-30T11:24:05Z)
• Biometrics: Trust, but Verify [49.9641823975828]
  Biometric recognition has exploded into a plethora of different applications around the globe. There are a number of outstanding problems and concerns pertaining to the various sub-modules of biometric recognition systems.
  arXiv  Detail & Related papers  (2021-05-14T03:07:25Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.