Analyzing the randomness, complexity and efficiency of chaotic image encryption using 1D Logistic map, 2D Arnold cat map or 3D Arnold cat map is proposed here. The keys for the encryption process are generated from the biometric image of the sender. Initially the biometric fingerprint image of the sender is captured using a scanner, which is preprocessed to the grey level image. By using an eff...

Authentication is the demonstration of confirming reality of a quality of a datum or substance. For Robust Authentication using a Biometric verification which is considered a subset of biometric authentication. It can be particularly recognized through one or all the more recognizing natural qualities, for example, fingerprints. This paper proposed the concept of Embedding and Extracting the En...

In this paper, we present an improved biometric identity based encryption scheme which is based on Baek et al’s scheme. By using fuzzy extractor to construct the public key of a user, we reduce the number of exponentiations of encryption algorithm, the number of MaptoPoint hash function and the length of ciphertext from O(n) to O(1). Furthermore, we proved the proposed scheme satisfy the securi...

This article introduces a new cancellable multi-biometric system based on the combination of selective encryption method and deep-learning-based fusion technology. The biometric face image is treated with an automatic segmentation algorithm (Viola-Jones), selected eye XORed PRNG (Pseudo Random Number Generator) matrix. output array used to create primary template. process changes histogram imag...

Recently, a few biometric identity-based encryption (BIO-IBE) schemes have been proposed. BIO-IBE leverages both fuzzy extractor and Lagrange polynomial to extract biometric feature as a user public key and as a preventive measure of collusion attack, respectively. In this paper, we reveal that BIO-IBE is not realistic whereby a query of fresh biometrics is needed for each encryption process. M...

Digital image archival and distribution systems are an indispensable part of the modern digital age. Organizations perceive a need for increased information security. However, conventional image encryption methods are not versatile enough to meet more advanced image security demands. We propose a universal multi-level ROI image encryption architecture that is based on biometric data. The propos...

Unimodal biometric systems have to contend with a variety of problems such as noisy data, intra-class variations, restricted degrees of freedom, non-universality; phishing attacks spoof attacks, and high false acceptance rates. In order for the biometrics to be ultra-secure and to provide more-than-average accuracy, more then one form of biometric identification is required. Hence some of these...

In addition to the inherent qualities that biometrics posses, powerful signal processing tools enabled widespread deployment of the biometric-based identification/verification systems. However, due to the nature of biometric data, well-established cryptographic tools (such as hashing, encryption, etc.) are not sufficient for solving one of the most important problems related to biometric system...

Biometric systems refer to biometric technologies which can be used to achieve authentication. Unlike cryptography-based technologies, the ratio for certification in biometric systems needs not to achieve 100% accuracy. However, biometric data can only be directly compared through proximal access to the scanning device and cannot be combined with cryptographic techniques. Moreover, repeated use...