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Nature-Inspired Protocols for Cloud Computing and Security Systems

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Pervasive Systems, Algorithms and Networks (I-SPAN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1080))

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Abstract

This paper describes new nature-inspired security solutions and protocols, oriented for secure authentication and strategic data management in Cloud Computing. In particular will be presented the ways of using advanced cognitive approaches and personal characteristics for creation of secure management protocols, oriented on user authentication, and efficient data management in Big Data infrastructures. Advanced computing procedures connected with cognitive cryptography will be introduced.

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References

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Acknowledgments

This work has been supported by the National Science Centre, Poland, under project number DEC-2016/23/B/HS4/00616. This work has been supported by the AGH University of Science and Technology research Grant No 16.16.120.773.

Author information

Authors and Affiliations

  1. Cryptography and Cognitive Informatics Research Group, AGH University of Science and Technology, 30 Mickiewicza Ave, 30-059, Kraków, Poland

    Marek R. Ogiela

  2. Department of Cryptography and Cognitive Informatics, Pedagogical University of Krakow, Podchorążych 2 St., 30-084, Kraków, Poland

    Lidia Ogiela

Authors
  1. Marek R. Ogiela
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  2. Lidia Ogiela
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Corresponding author

Correspondence to Marek R. Ogiela .

Editor information

Editors and Affiliations

  1. University of Naples Federico II, Naples, Napoli, Italy

    Christian Esposito

  2. Soongsil University, Seoul, Korea (Republic of)

    Jiman Hong

  3. The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

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Ogiela, M.R., Ogiela, L. (2019). Nature-Inspired Protocols for Cloud Computing and Security Systems. In: Esposito, C., Hong, J., Choo, KK. (eds) Pervasive Systems, Algorithms and Networks. I-SPAN 2019. Communications in Computer and Information Science, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-30143-9_14

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  • DOI: https://doi.org/10.1007/978-3-030-30143-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30142-2

  • Online ISBN: 978-3-030-30143-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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