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Mobile client data security storage protocol based on multifactor node evaluation

  • Qianming Zhou
  • Jin Xie
Article

Abstract

To improve calculation and storage capacity of mobile cloud data storage algorithm and solve the problem of low reliability and low energy utilization efficiency in remote server mode, the resampling mobile cloud data storage algorithm based on Gibbs probability allocation estimate is proposed. This algorithm firstly uses vote data allocation and vote data processing model to construct the calculation model for expected propagation time of resampling model in the condition of node failure probability and establishes vote dynamic network integrating energy efficiency and fault tolerance. Secondly, for the constructed dynamic network model, the storage path is optimized via sample probability allocation estimate. In addition, to improve process performance of allocation estimate, the Gibbs sampling process is used to realize high-dimensional coupling and non-supervised training for sample data in the process of allocation estimate. Lastly the effectiveness of proposed model algorithm was verified by experiment.

Keywords

Mobile client side Cloud storage Mobile node Allocation estimate Mobile cloud Data storage 

Notes

Acknowledgements

Authors acknowledge the Science and Technology Foundation of China National Textile and Apparel Council under Grant No. 2016066.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Computer ScienceXi’an Polytechnic UniversityXi’anChina
  2. 2.Institute of Water Resources and Hydro-electric EngineeringXi’an University of TechnologyXi’anChina
  3. 3.Department of Enrolment and EmploymentXi’an Polytechnic UniversityXi’anChina

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