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Qualitative Study of Security Resiliency Towards Threats in Future Internet Architecture

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Book cover Computational and Statistical Methods in Intelligent Systems (CoMeSySo 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 859))

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Abstract

With the consistent evolution of distributed networks and cloud computing, the communication process of existing Internet architecture are not at par to offer comprehensive security; thereby fails to cater up the dynamic web security demands of online users. This leads to the evolution of Future Internet Architecture (FIA) that claims of enhanced security system. However, a closer look into both existing web security and security of existing FIA projects shows that there are enough security loopholes in both that demands a novel security solution. Therefore, this paper contributes to investigate the effectiveness of existing web security approaches as well as security approaches of FIA in order to explore the open research issues. The finding of the study shows that there is a significant research gap that demands extreme improvement of existing web security in order to fit for secure communication in FIA.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, BMSIT and M, Bengaluru, India

    M. S. Vidya

  2. Department of Computer Science, COHB, University of Horticultural Sciences, Bagalkot, India

    Mala C. Patil

Authors
  1. M. S. Vidya
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  2. Mala C. Patil
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Corresponding author

Correspondence to M. S. Vidya .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Zdenka Prokopova

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Vidya, M.S., Patil, M.C. (2019). Qualitative Study of Security Resiliency Towards Threats in Future Internet Architecture. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Computational and Statistical Methods in Intelligent Systems. CoMeSySo 2018. Advances in Intelligent Systems and Computing, vol 859. Springer, Cham. https://doi.org/10.1007/978-3-030-00211-4_24

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