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Computational Collective Intelligence pp 159–168Cite as

Cryptanalysis of SDES Using Modified Version of Binary Particle Swarm Optimization

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9330))

Abstract

Nowadays, information security is based on ciphers and cryptographic systems. What evaluates the quality of such security measures is cryptanalysis. This paper presents a new cryptanalysis attack aimed at a ciphertext generated with the use of the SDES (Simplified Data Encryption Standard). The attack was carried out with a modified version of the BPSO (Binary Particle Swarm Optimization) algorithm. A well-adjusted version of this method can have a positive effect on the quality of the results obtained in a given period of time.

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Author information

Authors and Affiliations

  1. Future Processing, Bojkowska 37A, 44-100, Gliwice, Poland

    Kamil Dworak

  2. Institute of Computer Science, University of Silesia, Bedzinska 39, 41-200, Sosnowiec, Poland

    Kamil Dworak & Urszula Boryczka

Authors
  1. Kamil Dworak
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  2. Urszula Boryczka
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Corresponding author

Correspondence to Kamil Dworak .

Editor information

Editors and Affiliations

  1. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  2. Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Computer Science Department, Universidad Autónoma De Madrid, Madrid, Spain

    David Camacho

  4. Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawiński

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© 2015 Springer International Publishing Switzerland

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Dworak, K., Boryczka, U. (2015). Cryptanalysis of SDES Using Modified Version of Binary Particle Swarm Optimization. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_16

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  • DOI: https://doi.org/10.1007/978-3-319-24306-1_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24305-4

  • Online ISBN: 978-3-319-24306-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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