International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 185 - Issue 34 |
Published: Sep 2023 |
Authors: Bruno Dos S. Rocha, Jose´ A. M. Xexe´O, Renato H. Torres |
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Bruno Dos S. Rocha, Jose´ A. M. Xexe´O, Renato H. Torres . Artificial Intelligence Applied to the Identification of Block Ciphers under CBC Mode. International Journal of Computer Applications. 185, 34 (Sep 2023), 1-8. DOI=10.5120/ijca2023923114
@article{ 10.5120/ijca2023923114, author = { Bruno Dos S. Rocha,Jose´ A. M. Xexe´O,Renato H. Torres }, title = { Artificial Intelligence Applied to the Identification of Block Ciphers under CBC Mode }, journal = { International Journal of Computer Applications }, year = { 2023 }, volume = { 185 }, number = { 34 }, pages = { 1-8 }, doi = { 10.5120/ijca2023923114 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2023 %A Bruno Dos S. Rocha %A Jose´ A. M. Xexe´O %A Renato H. Torres %T Artificial Intelligence Applied to the Identification of Block Ciphers under CBC Mode%T %J International Journal of Computer Applications %V 185 %N 34 %P 1-8 %R 10.5120/ijca2023923114 %I Foundation of Computer Science (FCS), NY, USA
This research introduces a novel methodology for identifying symmetric cryptosystems operating in Cipher Block Chaining (CBC) mode based solely on encrypted texts. The approach combines statistical tests from NIST STS with machine learning algorithms, analyzing DES, 3DES, Blowfish, Camellia, and AES. The experimental results demonstrate an 84% identification rate for multiclass identification using random keys and initialization vectors. These findings are valuable in the field of information security and aid in minimizing cryptanalytic efforts.