1 research outputs found
On the Leakage of Fuzzy Matchers
In a biometric recognition system, the matcher compares an old and a fresh
template to decide if it is a match or not. Beyond the binary output (`yes' or
`no'), more information is computed. This paper provides an in-depth analysis
of information leakage during distance evaluation, with an emphasis on
threshold-based obfuscated distance (\textit{i.e.}, Fuzzy Matcher). Leakage can
occur due to a malware infection or the use of a weakly privacy-preserving
matcher, exemplified by side channel attacks or partially obfuscated designs.
We provide an exhaustive catalog of information leakage scenarios as well as
their impacts on the security concerning data privacy. Each of the scenarios
leads to generic attacks whose impacts are expressed in terms of computational
costs, hence allowing the establishment of upper bounds on the security level.Comment: Minor correction