Cryptanalysis of the columnar transposition using meta-heuristics

Year, pages: 2019, 39 - 60

The most commonly used methods for solving classical (historical) ciphers are based on global optimization (meta-heuristic methods). Despite the fact that global optimization is a well-studied problem, in the case of classical ciphers, there are still many open questions such as the construction of fitness functions or efficient transformation of the cryptanalysis (breaking attempt) to an optimization problem. Therefore the transformation of a cryptanalytical task to an optimization problem and the choice of a suitable fitness function form an important part of the topic. In this paper, we focus on the simple columnar transposition in depth. Our main contribution is a detailed analysis and comparison of different fitness functions, fitness landscape analysis and solving experiments.

Antal, E., Javorka, P., Hliboký, T. 2019. Cryptanalysis of the columnar transposition using meta-heuristics. In Tatra Mountains Mathematical Publications, vol. 73, no.1, pp. 39-60. 1210-3195. DOI: https://doi.org/10.2478/tmmp-2019-0005

Antal, E., Javorka, P., Hliboký, T. (2019). Cryptanalysis of the columnar transposition using meta-heuristics. Tatra Mountains Mathematical Publications, 73(1), 39-60. 1210-3195. DOI: https://doi.org/10.2478/tmmp-2019-0005

Publisher: Mathematical Institute, Slovak Academy of Sciences, Bratislava

© 2019 Mathematical Institute, Slovak Academy of Sciences. Licensed under the Creative Commons Attribution-NC-ND 4.0 International Public License.