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Emerging Trends in Computing and Communication pp 143–148Cite as

Exploring Chaotic Neural Network for Cryptographic Hash Function

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 298))

Abstract

Due to the one way property of neural networks and high sensitivity of chaotic systems, chaotic neural networks make an ideal candidate for cryptographic hash function design. In this paper, a novel algorithm is proposed to construct an efficient cryptographic hash function using a four layer chaotic neural network. The proposed hash function satisfies the security requirements of confusion and diffusion, and the mechanism allows flexibility of the hash value length, which makes it resistant to birthday attack for hash lengths longer than 128 bits. Moreover, the running time of a neural network can be reduced with the help of parallel processing. The statistical analysis of the proposed algorithm proves it to be a promising choice for cryptographic hash function design.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia, New Delhi, 110025, India

    Prateek Singla, Payal Sachdeva & Musheer Ahmad

Authors
  1. Prateek Singla
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  2. Payal Sachdeva
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  3. Musheer Ahmad
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Corresponding author

Correspondence to Prateek Singla .

Editor information

Editors and Affiliations

  1. Department of Information Technology, BP Poddar Institute of Management and Technology, Kolkata, West Bengal, India

    Sabnam Sengupta

  2. Department of Information Technology, BP Poddar Institute of Management and Technology, Kolkata, West Bengal, India

    Kunal Das

  3. Department of Information Technology, BP Poddar Institute of Management and Technology, Kolkata, West Bengal, India

    Gitosree Khan

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© 2014 Springer India

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Cite this paper

Singla, P., Sachdeva, P., Ahmad, M. (2014). Exploring Chaotic Neural Network for Cryptographic Hash Function. In: Sengupta, S., Das, K., Khan, G. (eds) Emerging Trends in Computing and Communication. Lecture Notes in Electrical Engineering, vol 298. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1817-3_16

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  • DOI: https://doi.org/10.1007/978-81-322-1817-3_16

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1816-6

  • Online ISBN: 978-81-322-1817-3

  • eBook Packages: EngineeringEngineering (R0)

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