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مخطط يربط المفتاح بالقياسات الحيوية لحماية انظمة المعلومات == A Biometric Key Binding Scheme for Information Systems Protection
Author name:
ابرار خلف الشريفي
Supervisor name:
كاظم مهدي الموسوي | كاظم حسن الابراهيمي
General topic:
Computer Science
Specific topic:
Computer Science
Degree:
Master
University:
University of Thi-Qar - College Of Education For Pure Sciences - Department Of Computer
Language:
English
University location:
Dhi Qar
First pages:
28T760 - p.pdf
Abstract:
Cryptosystems becomes an increasingly important feature as the most reliable tool in network and information security. However, while there are many forms of cryptosystems exist today a weak link of all systems is the secure management of the cryptographic key. And as a result of the growing interests in biometrics a new field of research has emerged, which is called "biometric cryptosystems". Within biometric cryptosystems the advantages of biometric authentication are introduced to generic cryptographic key management systems to enhance security.This work proposes a scheme to bind a cryptographic key with the face biometric by combining correlation filters based biometric recognition with a biometric key binding scheme with providing the variation tolerance, discrimination and security which are the most important requirements that apply to a cryptographic key retrieval using a biometric. In the proposed scheme the cryptographic key is generated independently of user's face image using Pseudo - Noise generator to produce a unique and long enough key (128 bits) for each user then this key is linked to the face image only through a secure block of data known as the 'protected record'. The correct key will only be derived via the interaction of this protected record with the correct user's face image during a live authentication process. The resultant key may be used in a system as cryptographic key or as a personal identification number (PIN) to overcome the need to carry, store, or remember keys for cryptosystems or any other application that are used (PIN).The proposed scheme performance has evaluated using FACE 94 facial database. The performance rate reached to 100% which is a perfect result for practical applications. The proposed scheme is implemented using (MATLAB 2008). It is executed for testing purpose on computer with processor of 1.80 GHZ dual core, i3 under Microsoft Windows 7 operating system.
