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Hybrid Secure Equivalent Computing Model for Distributed Computing Applications

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Abstract

Distributed computing applications provide concurrent processing and services executed from different systems through a common cloud platform. However, without modifications or adaptable security measures, such concurrency presents a great challenge to the proper administration of security. This paper introduces a hybrid secure equivalent computing model to address this security issue. The proposed security model was designed using a genetic algorithm for equivalent measure distribution over the processing systems. Via this model, variations in security management owing to differences in the processing times of various services can be mitigated using the probabilistic annealing method. This method helps to preserve the stability of the security method without decreasing its robustness. For robust processing, the model exploits parallel security as a service feature from the cloud with a non-tokenized key sharing method. The key sharing and revocation processes are determined using the probabilistic outcomes of the annealing method. The genetic process verifies the distribution of security measures in the key sequence of any possible processing combination without compromise. The performance of the proposed model was verified using the metrics of process failure, computational complexity, time delay, false rate, and computing level.

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Acknowledgements

The authors would like to extend their gratitude to King Saud University (Riyadh, Saudi Arabia) for funding this research through the Researchers Supporting Project number (RSP-2020/260).

Funding

King Saud University (Riyadh, Saudi Arabia): Researchers Supporting Project number (RSP-2020/260).

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  1. Computer Science Department, Community College, King Saud University, Riyadh, 11437, Saudi Arabia

    Aldosary Saad

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  1. Aldosary Saad
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Aldosary Saad- Writing an original paper.

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Correspondence to Aldosary Saad.

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This article does not contain any studies with human participants or animals performed by any of the authors. All medical imaging data used in this work were anonymized before provision.

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Saad, A. Hybrid Secure Equivalent Computing Model for Distributed Computing Applications. Wireless Pers Commun 127, 319–339 (2022). https://doi.org/10.1007/s11277-021-08265-x

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