عنوان انگلیسی مقاله:
Based blockchain-PSO-AES techniques in finger vein biometrics: A novel verification secure framework for patient authentication
ترجمه فارسی عنوان مقاله:
روش های مبتنی بر بلاکچین-PSO-AES در بیومتریک رگ های انگشت: یک چارچوب تأیید صحت جدید برای احراز هویت بیمار
Sciencedirect - Elsevier - Computer Standards & Interfaces, 66 (2019) 103343: doi:10:1016/j:csi:2019:04:002
A.H. Mohsin, A.A. Zaidan⁎, B.B. Zaidan, O.S. Albahri, A.S. Albahri, M.A. Alsalem, K.I. Mohammed
The main objective of this study is to propose a novel verification secure framework for patient authentication
between an access point (patient enrolment device) and a node database. For this purpose, two stages are used.
Firstly, we propose a new hybrid biometric pattern model based on a merge algorithm to combine radio frequency
identification and finger vein (FV) biometric features to increase the randomisation and security levels in
pattern structure. Secondly, we developed a combination of encryption, blockchain and steganography techniques
for the hybrid pattern model. When sending the pattern from an enrolment device (access point) to the
node database, this process ensures that the FV biometric verification system remains secure during authentication
by meeting the information security standard requirements of confidentiality, integrity and availability.
Blockchain is used to achieve data integrity and availability. Particle swarm optimisation steganography and
advanced encryption standard techniques are used for confidentiality in a transmission channel. Then, we discussed
how the proposed framework can be implemented on a decentralised network architecture, including
access point and various databases node without a central point. The proposed framework was evaluated by 106
samples chosen from a dataset that comprises 6000 samples of FV images. Results showed that (1) high-resistance
verification framework is protected against spoofing and brute-force attacks; most biometric verification
systems are vulnerable to such attacks. (2) The proposed framework had an advantage over the benchmark with
a percentage of 55.56% in securing biometric templates during data transmission between the enrolment device
and the node database.
Keywords: Finger vein | Blockchain | Cryptography | Steganography | RFID | CIA