DocumentCode :
497870
Title :
Cryptography key generation using biometrics
Author :
Singhvi, R. Sashank ; Venkatachalam, S.P. ; Kannan, P. Muthu ; Palanisamy, V.
Author_Institution :
Dept. of ECEDepartment of ECE, SVCE, Sriperumbudur, India
fYear :
2009
fDate :
4-6 June 2009
Firstpage :
1
Lastpage :
6
Abstract :
Existing asymmetric encryption algorithms require the storage of the secret private key. Stored keys are often protected by poorly selected user passwords that can either be guessed or obtained through brute force attacks. This is a weak link in the overall encryption system and can potentially compromise the integrity of sensitive data. Combining biometrics with cryptography is seen as a possible solution but any biometric cryptosystem must be able to overcome small variations present between different acquisitions of the same biometric in order to produce consistent keys. This paper discusses a new method which uses an entropy based feature extraction process coupled with Reed-Solomon error correcting codes that can generate deterministic bit-sequences from the output of an iterative one-way transform. The technique is evaluated using 3D face data and is shown to reliably produce keys of suitable length for 128-bit Advanced Encryption Standard (AES).
Keywords :
Reed-Muller codes; biometrics (access control); cryptography; entropy; error correction codes; feature extraction; transforms; Reed-Solomon error correcting codes; asymmetric encryption algorithms; biometrics; cryptography key generation; deterministic bit-sequences; entropy based feature extraction; iterative one-way transform; Biometrics; Computer science; Cryptography; Entropy; Feature extraction; Fingerprint recognition; Iris; Iterative methods; Matrix converters; Protection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Communication and Energy Conservation, 2009. INCACEC 2009. 2009 International Conference on
Conference_Location :
Perundurai, Tamilnadu
Print_ISBN :
978-1-4244-4789-3
Type :
conf
Filename :
5204436
Link To Document :
بازگشت