Abstract
Security issues of IoT devices are increasing with their massive use in healthcare. Recollection of data from devices is not clear to the users so far, and different problems arise including confidentiality, integrity and availability of the information. We analyze security issues mainly related to IoT data storage and transmission in our proposal of healthcare system architecture including cloud services and big data processing of information. We identify protocols needed and security problems including authentication, transmission of data to the cloud, as well as their insufficient anonymization process and the opaque procedure for users in order to control the storage of their data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Gachet, D., Aparicio, F., de Buenaga, M., Padrón, V.: Personalized health care system with virtual reality rehabilitation and appropriate information for seniors. Sensors 12(5), 5502–5516 (2012)
Gachet, D., Aparicio, F., de Buenaga, M., Ascanio, J.R.: Big data and IoT for chronic patients monitoring. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds.) Ubiquitous Computing and Ambient Intelligence. Personalization and User Adapted Services. LNCS, vol. 8867, pp. 416–423. Springer, Heidelberg (2014)
Angela McIntyre, J.E.: Gartner, Market Trends: Enter the Wearable Electronics Market with Products for the Quantified Self, July 2013
Ponemon Institute LLC: Fifth Annual Benchmark Study on Privacy & Security of Healthcare Data (2015)
Symantec: Internet Security Threat Report (2015). http://www.symantec.com/security_response/publications/threatreport.jsp
FitBit: FitBit Flex (2015). http://www.fitbit.com/es/flex. Accessed June 2015
Cyr, B., Horn, W., Miao, D., Specter, M.: Security Analysis of Wearable Fitness Devices (Fitbit). Massachusetts Institute of Technology (MIT), December 2014
Hsu, Y., Lee, D.: Authentication and authorization protocol security property analysis with trace inclusion transformation and online minimization, pp. 164–173 (2010)
Gomez, C., Oller, J., Paradells, J.: Overview and evaluation of bluetooth low energy: an emerging low-power wireless technology. Sensors 12, 11734 (2012)
The Bluetooth Special Interest Group: Specification of the Bluetooth System, Covered Core Package, Version: 4.0. Kirkland, WA, USA (2010)
Backstrom, L., Huttenlocher, D., Kleinberg, J., et al.: Group formation in large social networks: membership, growth, and evolution, pp. 44–54 (2006)
Sweeney, L.: K-anonymity: a model for protecting privacy. Int. J. Uncertainty Fuzziness Knowl.-Based Syst. 10, 557–570 (2002)
Avancha, S., Baxi, A., Kotz, D.: Privacy in mobile technology for personal healthcare. ACM Comput. Surv. 45, 31–354 (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Teresa Villalba, M., de Buenaga, M., Gachet, D., Aparicio, F. (2016). Security Analysis of an IoT Architecture for Healthcare. In: Mandler, B., et al. Internet of Things. IoT Infrastructures. IoT360 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 169. Springer, Cham. https://doi.org/10.1007/978-3-319-47063-4_48
Download citation
DOI: https://doi.org/10.1007/978-3-319-47063-4_48
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-47062-7
Online ISBN: 978-3-319-47063-4
eBook Packages: Computer ScienceComputer Science (R0)