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The Encryption Scheme with Data Compression Based on QC-LDPC

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Security, Privacy, and Anonymity in Computation, Communication, and Storage (SpaCCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10066))

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Abstract

Aiming at the security issue of big data, a new encryption scheme with data compression was designed, which is based on the coding theory. Combining with the theory of compression, a compressed encryption scheme based on quasi-cyclic low density parity check code was proposed. Furthermore, the performance and security of the scheme are analyzed, and through analysis it demonstrates the superiority of the scheme for big data encryption.

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Acknowledgments

This work is partially supported by National Natural Science Foundation of China (61572521, 61103231, 61272492), Project funded by China Postdoctoral Science Foundation (2014M562445, 2015T81047), and Natural Science Basic Research Plan in Shaanxi Province of China (2015JM6353).

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Authors and Affiliations

  1. School of Information Science and Technology, Northwest University, Xi’an, 710069, China

    Yiliang Han

  2. Department of Electronic Technology, Engineering University of PAP, Xi’an, 710086, China

    Yiliang Han

Authors
  1. Yiliang Han
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Correspondence to Yiliang Han .

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Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. Department of Computer Science, Colorado State University, Fort Collins, Colorado, USA

    Indrakshi Ray

  3. University of the West of Scotland, Paisley, Glasgow, United Kingdom

    Jose M. Alcaraz Calero

  4. Indian Institute of Information Technology and Management, Kerala (IIITMK), Trivandrum, Kerala, India

    Sabu M. Thampi

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Han, Y. (2016). The Encryption Scheme with Data Compression Based on QC-LDPC. In: Wang, G., Ray, I., Alcaraz Calero, J., Thampi, S. (eds) Security, Privacy, and Anonymity in Computation, Communication, and Storage. SpaCCS 2016. Lecture Notes in Computer Science(), vol 10066. Springer, Cham. https://doi.org/10.1007/978-3-319-49148-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-49148-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49147-9

  • Online ISBN: 978-3-319-49148-6

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