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Next-generation cybersecurity through a blockchain-enabled federated cloud framework

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Abstract

Minimizing the breach detection gap (BDG) for cyber-attacks is a big concern for all organizations and governments. Cyber-attacks are discovered daily, many of which have gone undetected for days to years before the victim organizations detect and deploy the cyber defense. Cyber defense solutions are advancing to combat risks and attacks from traditional to next-generation advanced defense protection solutions. However, many individuals, organizations and businesses continue to be hit by new waves of global cyber-attacks. In this paper, we present a blockchain-enabled federated cloud computing framework that uses the Dempster–Shafer theory to reduce BDG by continuously monitoring and analyzing the network traffics against cyber-attacks. We evaluate the proposed approach using numerical results, and the proposed approach outperforms the traditional approaches.

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Acknowledgements

This work was supported in part by the U.S. National Science Foundation (NSF) under Grants CNS-1658972 and CNS-1650831, and by the U.S. Department of Homeland Security (DHS) under Grant award number, 2017‐ST‐062‐000003. However, any opinion, finding, and conclusions or recommendations expressed in this document are those of the authors and should not be interpreted as necessarily representing the official policies, either expressed or implied, of the funding agencies. All co-authors have contributed in this paper.

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Authors and Affiliations

  1. Data Science and Cybersecurity Center (DSC2), College of Engineering and Architecture, Department of Electrical Engineering and Computer Science, Howard University, Washington, DC, 20059, USA

    Olumide O. Malomo, Danda B. Rawat & Moses Garuba

Authors
  1. Olumide O. Malomo
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  2. Danda B. Rawat
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  3. Moses Garuba
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Correspondence to Danda B. Rawat.

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Malomo, O.O., Rawat, D.B. & Garuba, M. Next-generation cybersecurity through a blockchain-enabled federated cloud framework. J Supercomput 74, 5099–5126 (2018). https://doi.org/10.1007/s11227-018-2385-7

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  • DOI: https://doi.org/10.1007/s11227-018-2385-7

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