Active Biometric Cryptography (ABC): Key Generation Using Feature and Parametric Aggregation

  • Authors:
  • Christopher R. Costanzo

  • Affiliations:
  • George Washington University, Washington, DC

  • Venue:
  • ICIMP '07 Proceedings of the Second International Conference on Internet Monitoring and Protection
  • Year:
  • 2007

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Abstract

Key generation and storage mechanisms are responsible for some of the more common security weaknesses affecting many information systems today. Passwords can be lost, stolen, or easily hacked. Work has been done demonstrating the use of biometrics to produce cipher keys, however these approaches typically require that the user store a template of their biometric in either a local or remote database which can be compared to future biometric samples. Other approaches require complex data processing to recover the cipher key. The proposed approach eliminates the need for template storage and demonstrates how a cryptographic key can be constructed through the use of biometric feature and parametric aggregation along with certain mathematical combinatorial and permutation constructs.