AES based multimodal biometric authentication using cryptographic level fusion with fingerprint and finger knuckle print
المؤلفون المشاركون
Arunachalam, Muthukumar
Subramanian, Kannan
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 12، العدد 5 (30 سبتمبر/أيلول 2015)10ص.
الناشر
تاريخ النشر
2015-09-30
دولة النشر
الأردن
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
In general, the identification and verification are done by passwords, pin number, etc., which are easily cracked by others.
In order to, overcome this issue biometrics is a unique tool to authenticate an individual person.
Biometric is a quantity which consists of an individual physical characteristics of Fingerprint, Finger Knuckle Print (FKP), Iris, Face and so on.
These characteristics are not easily cracked by others.
Nevertheless, unimodal biometric suffers due to noise, intra class variations, spoof attacks, non-universality and some other attacks.
In order to avoid these attacks, the multimodal biometrics i.e.
a combination of more modalities is adapted.
They are combined with cryptography, which will give more security for physical characters of biometrics.
Bio-crypto system provides the authentication as well as the confidentiality of the data.
This paper proposes to improve the security of multimodal systems by generating the biometric key from Fingerprint and FKP biometrics with its feature extraction using K-Means algorithm.
The secret value is encrypted with biometric key using Symmetric Advanced Encryption Standard (AES) Algorithm.
This paper also discusses about the integration of Fingerprint and FKP using package model cryptographic level fusion in order to improve the overall performance of the system.
The encryption process will give more authentication and security for the system.
The Cyclic Redundancy Check (CRC) function protects the biometric data from malicious tampering, and also it provides error checking functionality.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Arunachalam, Muthukumar& Subramanian, Kannan. 2015. AES based multimodal biometric authentication using cryptographic level fusion with fingerprint and finger knuckle print. The International Arab Journal of Information Technology،Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430864
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Arunachalam, Muthukumar& Subramanian, Kannan. AES based multimodal biometric authentication using cryptographic level fusion with fingerprint and finger knuckle print. The International Arab Journal of Information Technology Vol. 12, no. 5 (Sep. 2015).
https://search.emarefa.net/detail/BIM-430864
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Arunachalam, Muthukumar& Subramanian, Kannan. AES based multimodal biometric authentication using cryptographic level fusion with fingerprint and finger knuckle print. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430864
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-430864
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر