Biometric Security Through Visual Encryption for Fog Edge Computing

Fog and mobile edge computing have gained considerable attention from the research and development community. The problems related to security and privacy of biometric content are simpler to solve through edge computing resulting in improved security and privacy of biometric and other critically private information. Zero-watermarking has been proposed as a solution to help protect the ownership of multimedia content that is easy to copy and distribute. Visual cryptography is another approach to secure data that is to be shared through generating multiple shares. This paper is concerned with developing a biometric security solution for face images, using visual cryptography and zero-watermarking, that does not adversely impact the visual quality of the image. The original face image is not modified through the zero-watermarking and visual encryption procedures and this in turn does not adversely impact the recognition rate

Visual Cryptography with Chaotic Encryption for Biometric Templates

Preserving the privacy of digital biometric data (e.g., fingerprint) stored in a central database has become of paramount importance. It demands high speed decryption/encryption process with restricted computational powers. This work explores the possibility of using visual cryptography with chaotic encryption suitable for imparting security to biometric data such as fingerprint images. By using visual cryptography, the original image is decomposed into two images (called shares or sheets) in such a way that the original image can be revealed only when both images are simultaneously available. The security of the stored image can be further enhanced by doing chaotic encryption to the decomposed images. Typically, a private biometric image is dithered into two host images; these images are then independently encrypted using chaotic systems and are then transmitted and stored in two different database servers such that the identity of the private data is not revealed to either server. During the authentication process, Sheets are overlaid (i.e. super imposed) in order to reconstruct the private image. This work proposes a method for ensuring higher level of security for the images using visual cryptography with chaotic encryption. In the first phase of the project, the use of visual cryptography is explored to preserve the privacy of biometric data. This work is being done using Matlab 200

Ensuring patients privacy in a cryptographic-based-electronic health records using bio-cryptography

Several recent works have proposed and implemented cryptography as a means to preserve privacy and security of patients health data. Nevertheless, the weakest point of electronic health record (EHR) systems that relied on these cryptographic schemes is key management. Thus, this paper presents the development of privacy and security system for cryptography-based-EHR by taking advantage of the uniqueness of fingerprint and iris characteristic features to secure cryptographic keys in a bio-cryptography framework. The results of the system evaluation showed significant improvements in terms of time efficiency of this approach to cryptographic-based-EHR. Both the fuzzy vault and fuzzy commitment demonstrated false acceptance rate (FAR) of 0%, which reduces the likelihood of imposters gaining successful access to the keys protecting patients protected health information. This result also justifies the feasibility of implementing fuzzy key binding scheme in real applications, especially fuzzy vault which demonstrated a better performance during key reconstruction

The Horcrux Protocol: A Method for Decentralized Biometric-based Self-sovereign Identity

Most user authentication methods and identity proving systems rely on a centralized database. Such information storage presents a single point of compromise from a security perspective. If this system is compromised it poses a direct threat to users' digital identities. This paper proposes a decentralized authentication method, called the Horcrux protocol, in which there is no such single point of compromise. The protocol relies on decentralized identifiers (DIDs) under development by the W3C Verifiable Claims Community Group and the concept of self-sovereign identity. To accomplish this, we propose specification and implementation of a decentralized biometric credential storage option via blockchains using DIDs and DID documents within the IEEE 2410-2017 Biometric Open Protocol Standard (BOPS)