An Enhanced Authentication Based on Biometric and Neural Network | ||
| Journal of University of Anbar for Pure Science | ||
| Article 9, Volume 6, Issue 2, August 2012, Pages 26-32 PDF (493.87 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.37652/juaps.2012.63374 | ||
| Authors | ||
| Nadia maan; Melad Jader; Najla Badie | ||
| Mosul University - College of Computer Science and Mathematics | ||
| Abstract | ||
| Because of the significant in the field of information technology, increasing means of communication and networks , proliferation of electronic crimes and personality theft, the security of information and verification of the identity of the user became the biggest concerns of institutions and individuals. Hence, several types to verify the reliability of people appeared, some of them relied on traditional means like passwords and smart cards, other modern methods adopted the biometric features for which vital statistics, which depends on the characteristics of natural or unique behavior in people. The artificial neural networks have been used by a large number of researchers to achieve the goals of information security and so as it is ability of learning and modeling of complex relationships between inputs and Outputs.This research suggest a way to improve the user authentication scheme in high security applications in networks. Artificial neural network is used (Back propagation network) to provide privacy to the user and vital feature (fingerprint iris of the eye) being one of the best biometric features to verify the identity of the user as it is the consistency and accuracy in addition to ease of use . | ||
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