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Summary and Future Research Directions

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Security and Privacy for Mobile Healthcare Networks

Part of the book series: Wireless Networks ((WN))

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Abstract

In this chapter, we summarize the highlights of the monograph and discuss several potential research topics for future work.

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References

  1. D. He, C. Chen, S. Chan, J. Bu, and P. Zhang, “Secure and Lightweight Network Admission and Transmission Protocol for Body Sensor Networks,” IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 3, pp. 664–674, 2013.

    Article  Google Scholar 

  2. K. Zhang, X. Liang, M. Barua, R. Lu, and X. Shen, “PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs,” Information Sciences, vol. 284, pp. 130–141, 2014.

    Article  MathSciNet  Google Scholar 

  3. Y. Bao, J. Beck, and H. Li, “Compressive sampling for accelerometer signals in structural health monitoring,” SAGE Publications, pp. 235–246, 2011.

    Google Scholar 

  4. K. Zhang, K. Yang, X. Liang, Z. Su, X. Shen, and H. Luo, “Security and privacy for mobile healthcare networks — from quality-of-protection perspective,” IEEE Wireless Communications, vol. 22, no. 4, pp. 104–112, 2015.

    Article  Google Scholar 

  5. E. J. Candès and M. Wakin, “An introduction to compressive sampling,” IEEE Signal Processing Magazine, vol. 25, no. 2, pp. 21–30, 2008.

    Article  Google Scholar 

  6. J. Hoffstein, J. Pipher, and J. Silverman, “NTRU: A Ring-Based Public Key Cryptosystem,” in Proc. of ANTS, 1998, pp. 267–288.

    Google Scholar 

  7. P. Nguyen and D. Pointcheval, “Analysis and Improvements of NTRU Encryption Paddings,” in Proc. of CRYPTO, 2002, pp. 210–225.

    Google Scholar 

  8. X. Liang, K. Zhang, X. Shen, and X. Lin, “Security and privacy in mobile social networks: challenges and solutions,” IEEE Wireless Communications, vol. 21, no. 1, pp. 33–41, 2014.

    Article  Google Scholar 

  9. K. Yang, K. Zhang, J. Ren, and X. Shen, “Security and Privacy in Mobile Crowdsourcing Networks: Challenges and Opportunities,” IEEE Communications, vol. 53, no. 8, pp. 75–81, 2015.

    Article  Google Scholar 

  10. J. Ren, Y. Zhang, K. Zhang, and X. Shen, “Exploiting Mobile Crowdsourcing for Pervasive Cloud Services: Challenges and Solutions,” IEEE Communications Magazine, vol. 53, no. 3, pp. 98–105, 2015.

    Article  Google Scholar 

  11. X. Liu, R. Lu, J. Ma, L. Chen, and B. Qin, “Privacy-Preserving Patient-Centric Clinical Decision Support System on Naive Bayesian Classification,” Biomedical and Health Informatics, IEEE Journal of, to appear.

    Google Scholar 

  12. T. Graepel, K. Lauter, and M. Naehrig, “ML Confidential: Machine Learning on Encrypted Data,” in Proc. of ICISC, vol. 7839, 2012, pp. 1–21.

    Google Scholar 

  13. R. Bost, R. Popa, S. Tu, and S. Goldwasser, “Machine Learning Classification over Encrypted Data,” in Proc. of NDSS, 2015, pp. 1–14.

    Google Scholar 

  14. K. E. Emam, F. K. Dankar, R. Issa, E. Jonker, D. Amyot, E. Cogo, J.-P. Corriveau, M. Walker, S. Chowdhury, R. Vaillancourt, T. Roffey, and J. Bottomley, “A Globally Optimal k-Anonymity Method for the De-Identification of Health Data,” American Medical Informatics Association, vol. 5, no. 16, pp. 670–682, 2009.

    Article  Google Scholar 

  15. L. Sweeney, “Achieving k-Anonymity Privacy Protection Using Generalization and Suppression,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 10, no. 5, pp. 571–588, 2002.

    Article  MathSciNet  MATH  Google Scholar 

  16. S. Chen, R. Wang, X. Wang, and K. Zhang, “Side-Channel Leaks in Web Applications: A Reality Today, a Challenge Tomorrow,” in IEEE Symposium on Security and Privacy, 2010, pp. 191–206.

    Google Scholar 

  17. Forbes. [Online]. Available: http://www.forbes.com/sites/robertvamosi/2015/07/20/side-channel-analysis-can-protect-iot-scada/

  18. X. Lin, R. Lu, X. Shen, Y. Nemoto, and N. Kato, “SAGE: A Strong Privacy-preserving Scheme Against Global Eavesdropping for ehealth Systems,” IEEE Journal on Selected Areas in Communications, vol. 27, no. 4, pp. 365–378, 2009.

    Article  Google Scholar 

  19. K. Yang, X. Jia, and K. Ren, “Secure and Verifiable Policy Update Outsourcing for Big Data Access Control in the Cloud,” IEEE Transactions on Parallel and Distributed Systems, to appear.

    Google Scholar 

  20. S. Yu, C. Wang, K. Ren, and W. Lou, “Achieving Secure, Scalable, and Fine-grained Data Access Control in Cloud Computing,” in Proc. of IEEE INFOCOM, 2010, pp. 534–542.

    Google Scholar 

  21. S. Yu, C. Wang, K. Ren, and W. Lou, “Attribute based data sharing with attribute revocation,” in Proc. of ASIACCS, 2010, pp. 261–270.

    Google Scholar 

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Zhang, K., Shen, X.(. (2015). Summary and Future Research Directions. In: Security and Privacy for Mobile Healthcare Networks. Wireless Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-24717-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-24717-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24715-1

  • Online ISBN: 978-3-319-24717-5

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