| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 555407 | IERI Procedia | 2014 | 6 Pages |
Abstract
This paper proposes a new formalization for the differential cryptanalysis of DES (Data Encryption Standard) based on Bayesian Networks (BN), an artificial intelligence framework used for reasoning on data affected by uncertainty. Through the proposed approach it is possible to analyze DES from a novel point of view, thus paving the way for the development of a new class of cryptanalysis methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
