Computational challenges in applied cryptanalysis

Nadia Heninger
University of Pennsylvania

Security guarantees in cryptography typically rely on the computational hardness of solving mathematical problems, as well as the assumption that implementations properly generate values. In this talk, I will discuss several examples of large-scale computations for cryptanalysis of real-world systems, including large factoring and discrete log computations with the number field sieve, data analysis of cryptographic data from Internet-wide scans, and lattice-based cryptanalyses. These problems and algorithms all have quite different structures and pose interesting challenges when run at large scale.

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