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Resisting the Bergen-Hogan attack on adaptive arithmetic coding

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Crytography and Coding (Cryptography and Coding 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1355))

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Abstract

Arithmetic coding is an optimal data compression algorithm in terms of entropy. As it is a shortest length coding, it is well recognized that the randomness of the output of arithmetic coding is very good. Based on arithmetic coding, we propose a novel encryption algorithm. The algorithm can resist existing attacks on arithmetic coding encryption algorithms. The statistical properties of the system are very good. General approach to attack this algorithm is difficult. The algorithm is easily programmed. The algorithm on its own is also an effective data compression algorithm. The compression ratio is only 2% worse than the original arithmetic coding algorithm.

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Authors and Affiliations

  1. Communications Research Group, School of Engineering, University of Manchester, M13 9PL, Manchester, UK

    Xian Liu & Patrick G. Farrell

  2. School of Data Communications, Queensland University of Technology, Q4001, Brisbane, Australia

    Colin A. Boyd

Authors
  1. Xian Liu
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  2. Patrick G. Farrell
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  3. Colin A. Boyd
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Michael Darnell

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© 1997 Springer-Verlag Berlin Heidelberg

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Liu, X., Farrell, P.G., Boyd, C.A. (1997). Resisting the Bergen-Hogan attack on adaptive arithmetic coding. In: Darnell, M. (eds) Crytography and Coding. Cryptography and Coding 1997. Lecture Notes in Computer Science, vol 1355. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024465

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  • DOI: https://doi.org/10.1007/BFb0024465

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63927-5

  • Online ISBN: 978-3-540-69668-1

  • eBook Packages: Springer Book Archive

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