The paper discusses the issue of thermal imaging attacks on a variety of keyboard devices, such as cash machines, payment terminals, combination locks or computer keyboards. The aim of the research was to obtain the entered code or password in the most non-invasive way. As it turned out, attacks based on images from thermal imaging cameras are very easy to carry out and work in almost every case, which calls for extra safety measures. The authors consider various attack scenarios and come up with recommendations for both manufacturers and users of electronic keyboard security systems.

In this paper we investigate the concept of cancelable biometrics and propose a new scheme for user authorisation providing anonymity based on privacy-preserving computations on sets. We define a problem called (t;n) -Threshold Subset Problem and apply it to a biometric-based security system. Our solution implements biometric template protection based on one-way transformations and Bloom filters. Users authentication data is stored in form of a whitelist and the authorisation process is based on a zero-knowledge proof approach. Using oblivious polynomial evaluation (OPE) a legitimate user is able to recreate a secret polynomial and answer the challenge send by a verifier. We assume that biometric data can be acquired and digitized to the form of a vector representation.