Abstract
The mHealth system gradually become widely promoted, the user data privacy issues by the community a strong concern in the complex wireless network environment. In this paper, we propose a data fragment protection scheme, named DFP. The proposed DFP scheme according to the characteristics of the medical environment to system preprocessing, let the wearable equipment or implantation equipment to collect the patient information classified as patient personal privacy data and general medical data, the two types of data on the degree of privacy of different treatment. And according to the data connectivity design reliable transmission scheme. Our framework can not only more reasonable protection of medical data privacy and security, but also to reduce communication consumption and reduce the average time delay. Extensive performance analysis and experimental results proves its effectiveness and reliability.
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References
Huang, C.F., Lin, W.C.: Data collection for multiple mobile users in wireless sensor networks. J. Supercomput. 72(7), 2651–2669 (2016)
Kotz, D., Gunter, C.A., Kumar, S., et al.: Privacy and security in mobile health: a research agenda. Computer 49(6), 22 (2016)
Reuben, D.B., Hackbarth, A.S., Wenger, N.S., et al.: An automated approach to identifying patients with dementia using electronic medical records. J. Am. Geriatr. Soc. 65(3), 658–659 (2017)
Zhang, D., Chen, Z., Zhou, H., et al.: Energy-balanced cooperative transmission based on relay selection and power control in energy harvesting wireless sensor network. Comput. Netw. 104, 189–197 (2016)
Zhou, J., Cao, Z., Dong, X., et al.: PPDM: a privacy-preserving protocol for cloud-assisted e-healthcare systems. IEEE J. Sel. Top. Sig. Process. 9(7), 1332–1344 (2015)
Ng, J.W.P., Lo, B.P.L., Wells, O., et al.: Ubiquitous monitoring environment for wearable and implantable sensors (UbiMon). In: International Workshop on Ubiquitous Computing (2004)
Schlamp, J., Holz, R., Jacquemart, Q., et al.: HEAP: reliable assessment of BGP hijacking attacks. IEEE J. Sel. Areas Commun. 34(6), 1849–1861 (2016)
Wu, J., Chen, Z.: Data decision and transmission based on mobile data health records on sensor devices in wireless networks. Wirel. Pers. Commun. 90(4), 2073–2087 (2016)
Konstantas, D., Van, H.A., Bults, R., et al.: Mobile patient monitoring: the MobiHealth system. Conf. Proc. IEEE Eng. Med. Biol. Soc. 103(5), 1238–1241 (2009)
Guo, L., Zhang, C., Sun, J., et al.: A privacy-preserving attribute-based authentication system for mobile health networks. IEEE Trans. Mob. Comput. 13(9), 1927–1941 (2014)
Poulymenopoulou, M., Malamateniou, F., Vassilacopoulos, G.: A virtual PHR authorization system. In: IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 73–76. IEEE (2014)
Harvey, M.J., Harvey, M.G.: Privacy, security issues for mobile health platforms. J. Assoc. Inf. Sci. Technol. 65, 1305–1318 (2014)
Ankarali, Z.E., Abbasi, Q.H., Demir, A.F., et al.: A comparative review on the wireless implantable medical devices privacy and security. In: EAI, International Conference on Wireless Mobile Communication and Healthcare, pp. 246–249. IEEE (2015)
Spachos, P., Toumpakaris, D., Hatzinakos, D.: Angle-based dynamic routing scheme for source location privacy in wireless sensor networks. In: Vehicular Technology Conference, pp. 1–5. IEEE (2014)
Lu, R., Liang, X., Li, X., et al.: EPPA: an efficient and privacy-preserving aggregation scheme for secure smart grid communications. IEEE Trans. Parallel Distrib. Syst. 23(9), 1621–1631 (2012)
Sharma, A., Baweja, P.: Medical identity theft: a case report. Ann. Internal Med. 166(5), 380 (2017)
Hambidge, S.J., Ross, C., Shoup, J.A., et al.: Integration of data from a safety net health care system into the vaccine safety datalink. Vaccine 35(9), 1329–1334 (2017)
Mare, S., Sorber, J., Shin, M., et al.: Hide-n-Sense: preserving privacy efficiently in wireless mHealth. Mob. Netw. Appl. 19(3), 331–344 (2014)
Lin, X., Lu, R., Shen, X., et al.: Sage: a strong privacy-preserving scheme against global eavesdropping for ehealth systems. IEEE J. Sel. Areas Commun. 27(4), 365–378 (2009)
Zhang, Y., Chen, Q., Zhong, S.: Privacy-preserving data aggregation in mobile phone sensing. IEEE Trans. Inf. Forensics Secur. 11(5), 980–992 (2016)
Zhang, Z., Wang, H., Lin, X., et al.: Effective epidemic control and source tracing through mobile social sensing over WBANs. In: 2013 Proceedings of IEEE INFOCOM, pp. 300–304. IEEE (2013)
Acknowledgments
This work was supported in part by Major Program of National Natural Science Foundation of China (71633006); The National Natural Science Foundation of China (61672540, 61379057).
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Zhang, L., Chen, Z., Zhang, D. (2017). DFP: A Data Fragment Protection Scheme for mHealth in Wireless Network. In: Du, D., Li, L., Zhu, E., He, K. (eds) Theoretical Computer Science. NCTCS 2017. Communications in Computer and Information Science, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-10-6893-5_5
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DOI: https://doi.org/10.1007/978-981-10-6893-5_5
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