Tolerant Algebraic Side-Channel Analysis of {AES}

We report on a Tolerant Algebraic Side-Channel Analysis (TASCA) attack on an AES implementation, using an optimizing pseudo- Boolean solver to recover the secret key from a vector of Hamming weights corresponding to a single encryption. We first develop a boundary on the maximum error rate that can be tolerated as a function of the set size output by the decoder and the number of measurements. Then, we show that the TASCA approach is capable of recovering the secret key from errored traces in a reasonable time for error rates approaching this theoretical boundary – specifically, the key was recovered in 10 hours on average from 100 measurements with error rates of up to 20%. We discovered that, perhaps counter-intuitively, there are strong incentives for the attacker to use as few leaks as possible to recover the key. We describe the equation setup, the experiment setup and discuss the results

Applications of Key Recovery Cube-attack-like

In this paper, we describe a variant of the cube attack with much better-understood Preprocessing Phase, where complexity can be calculated without running the actual experiments and random-like search for the cubes. We apply our method to a few different cryptographic algorithms, showing that the method can be used against a wide range of cryptographic primitives, including hash functions and authenticated encryption schemes. We also show that our key-recovery approach could be a framework for side-channel attacks, where the attacker has to deal with random errors in measurements