Grobner Bases Method for Biometric Traits Identification and Encryption

• 作者: Mohamed Sayed
• 来源期刊: 信息安全(英文)
• 学科: 数学
• 关键词: BIOMETRICS CRYPTOGRAPHY GROBNER Bases
• 年，卷（期）: 2015,（3）
• 页码范围: 241-249
• 页数: 9页
• 分类号: O1

摘要

Biometric identification systems are principally related to the information security as well as data protection and encryption. The paper proposes a method to integrate biometrics data encryption and authentication into error correction techniques. The normal methods of biometric templates matching are replaced by a more powerful and high quality identification approach based on Grobner bases computations. In the normal biometric systems, where the data are always noisy, an approximate matching is expected;however, our cryptographic method gives particularly exact matching.