Mobile client data security storage protocol based on multifactor node evaluation

  • Qianming ZhouEmail author
  • Jin Xie


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.


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



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


  1. 1.
    Kurup P, Sullivan C, Hannagan R, Yu S, Azimi H, Robertson S, Ryan D, Nagarajan R, Ponrathnam T, Howe G (2017) A review of technologies for characterization of heavy metal contaminants. Indian Geotech J 47(4):421–436CrossRefGoogle Scholar
  2. 2.
    Ghebrebrhan M, Aranda F, Walsh G, Ziegler D, Giardini S, Carlson J, Kimball B, Steeves D, Xia Z, Yu S et al (2017) Textile frequency selective surface. IEEE Microw Wirel Compon Lett 27(11):989–991CrossRefGoogle Scholar
  3. 3.
    Malarkodi MP, Arunkumar N, Venkataraman V (2013) Gabor wavelet based approach for face recognition. Int J Appl Eng Res 8(15):1831–1840Google Scholar
  4. 4.
    Stephygraph LR, Arunkumar N (2016) Brain-actuated wireless mobile robot control through an adaptive human–machine interface. Adv Intell Syst Comput 397:537–549Google Scholar
  5. 5.
    Pan W, Chen S, Feng Z (2012) Investigating the collaborative intention and semantic structure among co-occurring tags using graph theory. In: International Enterprise Distributed Object Computing Conference. IEEE, Beijing, pp 190–195Google Scholar
  6. 6.
    Arunkumar N, Jayalalitha S, Dinesh S, Venugopal A, Sekar D (2012) Sample entropy based ayurvedic pulse diagnosis for diabetics. In: IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012, art. no. 6215973, pp 61–62Google Scholar
  7. 7.
    Arunkumar N, Ramkumar K, Hema S, Nithya A, Prakash P, Kirthika V (2013) Fuzzy Lyapunov exponent based onset detection of the epileptic seizures. In: 2013 IEEE Conference on Information and Communication Technologies, ICT 2013, art. no. 6558185, pp 701–706Google Scholar
  8. 8.
    Faig JJ, Moretti A, Joseph LB, Zhang Y, Nova MJ, Smith K, Uhrich KE (2017) Biodegradable kojic acid-based polymers: controlled delivery of bioactives for melanogenesis inhibition. Biomacromolecules 18(2):363–373CrossRefGoogle Scholar
  9. 9.
    Sun X, Xue Y, Liang C, Wang T, Zhe W, Sun G, Li X, Li X, Liu G (2017) Histamine induces bovine rumen epithelial cell inflammatory response via NF-κB pathway. Cell Physiol Biochem 42(3):1109–1119CrossRefGoogle Scholar
  10. 10.
    Arunkumar N, Balaji VS, Ramesh S, Natarajan S, Likhita VR, Sundari S (2012) Automatic detection of epileptic seizures using independent component analysis algorithm. In: IEEE-International Conference on Advances in Engineering, Science and Management, ICAESM-2012, art. no. 6215903, pp 542–544Google Scholar
  11. 11.
    Yang D, Chen Y, Zhuang Y, Zhu C, Tang F, Huang J (2017) Probing nanostrain via a mechanically designed optical fiber interferometer. IEEE Photonics Technol Lett 29(2017):1348–1351Google Scholar
  12. 12.
    Fernandes SL, Gurupur VP, Sunder NR, Arunkumar N, Kadry S (2017) A novel nonintrusive decision support approach for heart rate measurement. Pattern Recognit. Google Scholar
  13. 13.
    Arunkumar N, Ramkumar K, Venkatraman V, Abdulhay E, Fernandes SL, Kadry S, Segal S (2017) Classification of focal and non focal EEG using entropies. Pattern Recognit Lett 94:112–117CrossRefGoogle Scholar
  14. 14.
    Chan JW, Zhang Y, Uhrich KE (2015) Amphiphilic macromolecule self-assembled monolayers suppress smooth muscle cell proliferation. Bioconj Chem 26(7):1359–1369CrossRefGoogle Scholar
  15. 15.
    Mohammed MA, Ghani MKA, Arunkumar N, Hamed RI, Mostafa SA, Abdullah MK, Burhanuddin MA (2018) Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network. J Supercomput. Google Scholar
  16. 16.
    Mohammed MA, Ghani MKA, Arunkumar N, Hamed RI, Abdullah MK, Burhanuddin MA (2018) A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear. Future Gener Comput Syst. Google Scholar
  17. 17.
    Khanna A, Jain S, Aggarwal T, Arunkumar N, Gupta D, Julka A, Albuquerque V (2018) Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease. Cogn Syst Res 52:36–48CrossRefGoogle Scholar
  18. 18.
    Elhoseny M, Ramírez-González G, Abu-Elnasr OM, Shawkat SA, Arunkumar N, Farouk A (2018) Secure medical data transmission model for IoT-based healthcare systems. IEEE Access. Google Scholar
  19. 19.
    Arunkumar N, Ramkumar K, Venkatraman V (2018) Entropy features for focal EEG and non focal EEG. J Comput Sci. MathSciNetGoogle Scholar
  20. 20.
    Hamza R, Muhammad K, Arunkumar N, Ramírez González G (2017) Hash based encryption for keyframes of diagnostic hysteroscopy. IEEE Access. Google Scholar
  21. 21.
    Fernandes SL, Gurupur VP, Sunder NR, Arunkumar N, Kadry S (2017) A novel nonintrusive decision support approach for heart rate measurement. Pattern Recognit Lett. Google Scholar

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© 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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