Qinghai Gao

Secure Biometrics

Match Biometric Templates in Encrypted Formats

• Broschiertes Buch

Produktbeschreibung

Artificial Intronization Method (AIM) was developed to approach the problems of biometrics: number limitation, non secrecy, non-reproducibility and non-cancelability. AIM is a method of inserting introns into an exon sequence to obtain ciphertext. Three methods are proposed to introduce introns into plaintext. Its main advantage is to prevent error propagation. Its main disadvantage is that security may require a large Message Expansion Rate (MER). Therefore, three methods are proposed to control MER. With AIM the aforementioned four problems can be solved. AIM is tested and seems to be a promising mechanism for protecting fuzzy biometric data because only intronized template will be stored. AIM can also be used as a preprocessing step for other cryptographic algorithms to enhance security. AIM is vulnerable to Known-plaintext Attack due to the intentional suppression of the diffusion property in favor of zero-error propagation. Thus, it has its limitation as a stand-alone cipher.

Produktdetails

• Verlag: VDM Verlag Dr. Müller
• Seitenzahl: 76
• Englisch
• ISBN-13: 9783639218282
• ISBN-10: 3639218280
• Artikelnr.: 27981250

Autorenporträt

Dr. Qinghai Gao is an Assistant Professor in the Department of Security Systems at Farmingdale State College, SUNY. Before joining Farmingdale, he worked as an Information Security Specialist for a few years. He received a PhD in computer science from CUNY. His present research interests include Digital Forensics, Biometrics, and Cryptography.