GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised learning

Privacy preserving biometrics using partially homomorphic encryption

We will look into privacy preserving biometrics using the example of a fingerprint reader and partially homomorphic encryption. Therefore we will cover the basics necessary to understand the discussed subject, partially homomorphic encryption and fingerprint based authentication, as well as showing a concrete protocol and its implications on performance and security of the system. While securit...

Secure and Privacy-Preserving User Authentication Using Biometrics

Identity management lies in the field of Information Security, presenting numerous attractive research categories. Biometrics have been established as a new approach to mitigate the limitations and weaknesses of traditional access methods of passwords and tokens. However, biometrics introduce new security and privacy risks since they cannot be easily revoked. Due to the noisy nature of biometri...

Privacy Preserving Key Generation for Iris Biometrics

In this work we present a new technique for generating cryptographic keys out of iris textures implementing a key-generation scheme. In contrast to existing approaches to iris-biometric cryptosystems the proposed scheme does not store any biometric data, neither in raw nor in encrypted form, providing high secrecy in terms of template protection. The proposed approach is tested on a widely used...

An Overview on Privacy Preserving Biometrics

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

The increasing quality of smartphone cameras and variety of photo editing applications, in addition to the rise in popularity of image-centric social media, have all led to a phenomenal growth in mobile-based photography. Advances in computer vision and machine learning techniques provide a large number of cloud-based services with the ability to provide content analysis, face recognition, and ...