Enhanced Biometric Image Encryption Scheme for Secure Data Protection

Strategic Insights -

Recent advancements in biometric technologies have expanded their use in various sectors, including access control, healthcare, finance, and the Internet of Things (IoT). However, the unique and immutable nature of biometric data poses significant privacy risks. To address these challenges, a new research paper proposes an improved biometric image encryption scheme, leveraging a four-dimensional hyperchaos model and Latin matrices to ensure robust protection of multimodal biometrics. This method overcomes the instability of traditional cryptographic algorithms, providing reliable security for sensitive biometric data.

Key Takeaways:

  • The proposed biometric image encryption scheme enhances the classical three-dimensional Chen's chaotic system into a four-dimensional model to take full advantage of its high sensitivity and stochasticity.
  • The integration of Latin matrices and semi-tensor products develops a novel encryption algorithm designed to protect multimodal biometrics, such as face, fingerprint, palmprint, and iris images.
  • The method ensures robust protection of biometric data when processing different images, with various performance evaluations conducted, including image encryption time, UACI values, and information entropy.
  • The algorithm has excellent encryption, security, and efficiency, with an image encryption time of 0.071s, UACI values of the ciphertext images close to 99.6094%, and information entropy of the ciphertext images reaching 7.9980.
  • The research concluded that the method provides a reliable solution for securing biometric data in an increasingly complex digital environment.
  • The study was financially supported by the Basic Research Project of Liaoning Provincial Department of Education and the Liaoning Province Guiding City Science and Technology Development Special Project-Liaoning Provincial Natural Science Foundation Joint Plan.
  • The research has been peer-reviewed and published in the Journal of Information Security and Applications.

Statistics:

  • The image encryption time reaches 0.071s.
  • The UACI values of the ciphertext images are close to 99.6094%.
  • The information entropy of the ciphertext images reaches 7.9980.
  • The method ensures robust protection of biometric data when processing different images.

Sources:

  • A Privacy Protection Scheme for Biological Characteristics Based On 4d Hyperchaos and Matrix Transformation. Journal of Information Security and Applications, 2025;94.
  • NewsRx. Reports on Information and Data Encoding and Encryption Findings from Liaoning Technical University Provide New Insights (A Privacy Protection Scheme for Biological Characteristics Based On 4d Hyperchaos and Matrix Transformation). Information Technology Newsweekly. November 4, 2025; p 654.