Finger knuckle print authentication using AES and K-means algorithm

المؤلفون المشاركون

Arunachalam, Muthukumar
Subramanian, Kannan

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 12، العدد 6A(s) (31 ديسمبر/كانون الأول 2015)، ص ص. 642-649، 8ص.

الناشر

جامعة الزرقاء

تاريخ النشر

2015-12-31

دولة النشر

الأردن

عدد الصفحات

8

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

الملخص EN

In general, the identification and verification are done by passwords, PIN number, etc., which can be easily cracked by hackers.

Biometrics is a powerful and unique tool based on the anatomical and behavioural characteristics of the human beings in order to prove their authentication.

Security is the most important thing in the world.

Password is used for security, but it does not provide the effective security.

So biometrics can be used to provide the higher security than the password.

Finger Knuckle Print (FKP) is a unique biometric anatomical feature for an individual person.

Biometric systems are suffered to a variety of attacks.

In order to avoid these attacks, the biometric combined cryptography is the major tool.

Bio-crypto system is to provide the authentication as well as the confidentiality of the data.

This paper presents biometric key, which is generated from key points of FKP using k-means algorithm and secret hash value also generated using Secure Hash Algorithm (SHA) function, which is encrypted with the FKP extracted key points by Symmetric Advanced Encryption Standard (AES) algorithm.

The key points extraction of FKP was derived using Scale Invariant Feature Transform (SIFT).

Hence encrypted secret hash value secures biometric data and the secret value.

The hash function protects the biometric data from malicious tampering, and it provides error checking functionality.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Arunachalam, Muthukumar& Subramanian, Kannan. 2015. Finger knuckle print authentication using AES and K-means algorithm. The International Arab Journal of Information Technology،Vol. 12, no. 6A(s), pp.642-649.
https://search.emarefa.net/detail/BIM-654925

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Arunachalam, Muthukumar& Subramanian, Kannan. Finger knuckle print authentication using AES and K-means algorithm. The International Arab Journal of Information Technology Vol. 12, no. 6A (Dec. 2015), pp.642-649.
https://search.emarefa.net/detail/BIM-654925

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Arunachalam, Muthukumar& Subramanian, Kannan. Finger knuckle print authentication using AES and K-means algorithm. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 6A(s), pp.642-649.
https://search.emarefa.net/detail/BIM-654925

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes appendix : p.649

رقم السجل

BIM-654925