Skip to main content

Advertisement

SpringerLink
Log in

RETRACTED ARTICLE: Mobile client data security storage protocol based on multifactor node evaluation

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

This article was retracted on 14 February 2024

This article has been updated

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Change history

References

  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):421–436

    Article  Google Scholar 

  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):989–991

    Article  Google Scholar 

  3. Malarkodi MP, Arunkumar N, Venkataraman V (2013) Gabor wavelet based approach for face recognition. Int J Appl Eng Res 8(15):1831–1840

    Google Scholar 

  4. Stephygraph LR, Arunkumar N (2016) Brain-actuated wireless mobile robot control through an adaptive human–machine interface. Adv Intell Syst Comput 397:537–549

    Article  Google Scholar 

  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 190–195

  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 61–62

  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 701–706

  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):363–373

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  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):1109–1119

    Article  CAS  PubMed  Google Scholar 

  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 542–544

  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):1348–1351

    ADS  Google Scholar 

  12. Fernandes SL, Gurupur VP, Sunder NR, Arunkumar N, Kadry S (2017) A novel nonintrusive decision support approach for heart rate measurement. Pattern Recognit. https://doi.org/10.1016/j.patrec.2017.07.002

    Article  Google Scholar 

  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 94:112–117

    Article  ADS  Google Scholar 

  14. Chan JW, Zhang Y, Uhrich KE (2015) Amphiphilic macromolecule self-assembled monolayers suppress smooth muscle cell proliferation. Bioconj Chem 26(7):1359–1369

    Article  CAS  Google Scholar 

  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. https://doi.org/10.1007/s11227-018-2495-2

    Article  Google Scholar 

  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. https://doi.org/10.1016/j.future.2018.07.022

    Article  Google Scholar 

  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 52:36–48

    Article  Google Scholar 

  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. https://doi.org/10.1109/ACCESS.2018.2817615

    Article  Google Scholar 

  19. Arunkumar N, Ramkumar K, Venkatraman V (2018) Entropy features for focal EEG and non focal EEG. J Comput Sci. https://doi.org/10.1016/j.jocs.2018.02.002

    Article  Google Scholar 

  20. Hamza R, Muhammad K, Arunkumar N, Ramírez González G (2017) Hash based encryption for keyframes of diagnostic hysteroscopy. IEEE Access. https://doi.org/10.1109/ACCESS.2017.2762405

    Article  Google Scholar 

  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. https://doi.org/10.1016/j.patrec.2017.07.002

    Article  Google Scholar 

Download references

Acknowledgements

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

Author information

Authors and Affiliations

  1. College of Computer Science, Xi’an Polytechnic University, Xi’an, 710048, Shaanxi, China

    Qianming Zhou

  2. Institute of Water Resources and Hydro-electric Engineering, Xi’an University of Technology, Xi’an, 710048, Shaanxi, China

    Qianming Zhou

  3. Department of Enrolment and Employment, Xi’an Polytechnic University, Xi’an, 710048, Shaanxi, China

    Jin Xie

Authors
  1. Qianming Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jin Xie
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Qianming Zhou.

Additional information

This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s11227-024-05977-2

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, Q., Xie, J. RETRACTED ARTICLE: Mobile client data security storage protocol based on multifactor node evaluation. J Supercomput 76, 1144–1158 (2020). https://doi.org/10.1007/s11227-018-2521-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-018-2521-4

Keywords

Search

Navigation