scholarly journals Accomplishment of New Protocol for Stupendous Security in Cloud Environment

2019 ◽  
Vol 9 (1) ◽  
pp. 2616-2619
Keyword(s):  
Biometric Authentication ◽  
Cloud Environment ◽  
Identity Verification ◽  
Hybrid Clouds ◽  
Biometric Template ◽  
Biometric Encryption ◽  
Authentication And Authorization ◽  
Template Protection ◽  
Encryption Algorithms ◽  
Biometric Template Protection

Cloud is that the rising and thirst area of analysis and advantageous in all the fields. However security is the main disquiet for not espouse cloud for each application. Mainly of the security crisis are connected by authentication with data protection by the respect to cloud security alliance (CSA). The projected New (Biometric encoding and Biometric authentication) protocol can conquer every safety crisis in cloud adjacent. In NEW protocol biometric encryption has been provided for the cloud consumer’s valuable information and identity verification has been utilized in a unique way to scale back the problems associated with authentication and authorization. In NEW protocol Identity verification in cloud environment has been joint by pattern security in coincidence with four entirely dissimilar and influential encryption algorithms for accumulated safety. This protocol improves biometric template protection by the combination of RSA and AES encryption algorithms in proper locations and 3DES, Blowfish has been utilized in information security and solution safety supervision. By implementing such technique can vanish out the un trustiness of adopting cloud, specifically public and hybrid clouds. Since all the users information are hold on in off premise. Adopting this protocol has given nice results when examining with existing work and all the vulnerable places has been considered for improved security.

A Review on Different Biometric Template Protection Methods

2019 ◽  
Vol 12 ◽  
Author(s):  
Arpita Sarkar ◽  
Binod K. Singh
Keyword(s):  
Identity Management ◽  
Automatic Identification ◽  
Biometric Authentication ◽  
Protection Scheme ◽  
Biometric Template ◽  
Template Protection ◽  
Identity Management System ◽  
Identification Of Persons ◽  
Biometric Information ◽  
Biometric Template Protection

: Biometrics is a universally used automatic identification of persons, depending on their behavioural and biological quality. Biometric authentication plays a crucial role in the identity management system. Safety of biometric authentication systems needs to be addressed as there are still some points related to the integrity and public receiving of biometric systems. Feature extraction module of biometric authentication systems, during the season of enrolment scanned biometric information to extract the set of salient features. This set of unique feature is known as biometric template. This biometric template is helpful in distinguishing between different users. These templates are generally stored during the time of enrolment in a database indexed by the user's identity information. The biometric template protection is an important issue because the compromised template cannot be cancelled and reissued like a password or token. Template protection is a challenging task because of intra user variability present in the acquired biometric traits. This paper surveys about different existing approaches for designing a protection scheme for biometric templates with their strength and boundaries existing in the literature. Some prospect information in designing template protection schemes are also addressed in this paper.

scholarly journals Palmprint Based Multidimensional Fuzzy Vault Scheme

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Hailun Liu ◽  
Dongmei Sun ◽  
Ke Xiong ◽  
Zhengding Qiu
Keyword(s):  
Error Correcting Code ◽  
Experimental Results ◽  
Fuzzy Vault ◽  
Biometric Template ◽  
Template Protection ◽  
Biometric Template Protection

Fuzzy vault scheme (FVS) is one of the most popular biometric cryptosystems for biometric template protection. However, error correcting code (ECC) proposed in FVS is not appropriate to deal with real-valued biometric intraclass variances. In this paper, we propose a multidimensional fuzzy vault scheme (MDFVS) in which a general subspace error-tolerant mechanism is designed and embedded into FVS to handle intraclass variances. Palmprint is one of the most important biometrics; to protect palmprint templates; a palmprint based MDFVS implementation is also presented. Experimental results show that the proposed scheme not only can deal with intraclass variances effectively but also could maintain the accuracy and meanwhile enhance security.

Combining Watermarking and Hyper-Chaotic Map to Enhance the Security of Stored Biometric Templates

2019 ◽  
Vol 63 (3) ◽  
pp. 479-493 ◽  
Author(s):  
Wadood Abdul ◽  
Ohoud Nafea ◽  
Sanaa Ghouzali
Keyword(s):  
Chaotic Map ◽  
Hybrid Approach ◽  
Discrete Wavelet ◽  
Mean Values ◽  
Face Images ◽  
Biometric Template ◽  
Watermark Embedding ◽  
Biometric Encryption ◽  
The Face ◽  
Template Protection

AbstractThere are a number of issues related to the development of biometric authentication systems, such as privacy breach, consequential security and biometric template storage. Thus, the current paper aims to address these issues through the hybrid approach of watermarking with biometric encryption. A multimodal biometric template protection approach with fusion at score level using fingerprint and face templates is proposed. The proposed approach includes two basic stages, enrollment stage and verification stage. During the enrollment stage, discrete wavelet transform (DWT) is applied on the face images to embed the fingerprint features into different directional sub-bands. Watermark embedding and extraction are done by quantizing the mean values of the wavelet coefficients. Subsequently, the inverse DWT is applied to obtain the watermarked image. Following this, a unique token is assigned for each genuine user and a hyper-chaotic map is used to produce a key stream in order to encrypt a watermarked image using block-cipher. The experimentation results indicate the efficiency of the proposed approach in term of achieving a reasonable error rate of 3.87%.

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