Information leakage is a major concern in modern day IT-security. In fact, a malicious user is often able to extract
information about private values from the computation performed on the
devices. In specific settings, such as RFID, where a low computational complexity is required, it is hard to apply standard techniques to achieve resilience against this kind of attacks.
In this paper, we present a framework to make cryptographic
primitives based on large finite fields robust against information leakage
with a bounded computational cost.
The approach makes use
of the inner product extractor and guarantees security in the presence of
leakage in a widely accepted model. Furthermore, we show how to apply the proposed
techniques to the authentication protocol Lapin, and we compare it to existing
solutions.
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