Bayesian Modeling for Differential Cryptanalysis of Block Ciphers: A DES Instance
Encryption algorithms based on block ciphers are among the most widely adopted solutions for providing information security. Over the years, a variety of methods have been proposed to evaluate the robustness of these algorithms to different types of security attacks. One of the most effective analys...
Main Authors: | Vincenzo Agate, Federico Concone, Alessandra De Paola, Pierluca Ferraro, Giuseppe Lo Re, Marco Morana |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10015012/ |
Similar Items
-
Deep-Learning-Based Cryptanalysis of Lightweight Block Ciphers Revisited
by: Hyunji Kim, et al.
Published: (2023-06-01) -
XSL Block Ciphers’ Key-schedules with Resistance to Differential Cryptanalysis
by: Marina Aleksandrovna Pudovkina, et al.
Published: (2014-05-01) -
Cryptanalysis of Reduced round SKINNY Block Cipher
by: Sadegh Sadeghi, et al.
Published: (2018-09-01) -
Integral Cryptanalysis of Lightweight Block Cipher PIPO
by: Sunyeop Kim, et al.
Published: (2022-01-01) -
On a Linear Cryptanalysis of a Family of Modified DES Ciphers with Even Weight S-Boxes
by: Borissov Yuri, et al.
Published: (2016-12-01)