cryptography

Differential fault analysis (DFA) on AES and RSA recovers cryptographic keys by injecting faults into cipher computations and analyzing the faulty outputs. This skill provides reference-driven attack patterns for identifying these exploitable implementation weaknesses.

Perform lattice-based attacks for modulus and prime recovery by applying AGCD factoring patterns and discriminant-square techniques to controlled datasets. This skill provides practical Python-based implementations and reference exercises to validate the recovered parameters.

Yes, you can use Python to implement cryptanalysis on controlled datasets. This skill emphasizes understanding pure-Python tooling for cryptographic attacks and validating recovered keys, plaintext, or parameters against published reference materials.

Yes, this approach supports secret sharing reconstructions under non-prime moduli. It identifies structural weaknesses in secret sharing schemes and translates them into actionable attacks to recover parameters with rigorous verification.

The best way to validate recovered cryptographic parameters is to reproduce sample attack patterns like AGCD or lattice-based factoring on controlled datasets and compare results with published references. This skill maps scenarios to practical exercises for verification.