Privacy-enabled remote health monitoring applications for resource constrained wearable devices

Proceedings of the ACM Symposium on Applied Computing

Volumn 04-08-April-2016, Issue , 2016, Pages 119-124

  Preuveneers, Davy ^a   Joosen, Wouter ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

Access control; Health; Privacy; Security

Indexed keywords

ACCESS CONTROL; BIG DATA; CRYPTOGRAPHY; DATA PRIVACY; DIGITAL STORAGE; HEALTH;

CLOUD SERVICE PROVIDERS; COMPUTING PARADIGM; HO-MOMORPHIC ENCRYPTIONS; PERSONAL HEALTH INFORMATIONS; PRIVACY CONCERNS; REAL-TIME ANALYTICS; REMOTE HEALTH MONITORING; SECURITY;

WEARABLE TECHNOLOGY;

EID: 84975796117     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2851613.2851683     Document Type: Conference Paper

References (17)

1. ASSOCIATION, A. D. Standards of Medical Care in Diabetes-2014. Diabetes Care 37, Supplement 1(Jan. 2014), S14-S80.
2. BOS, J. W., LAUTER, K., AND NAEHRIG, M. Private predictive analysis on encrypted medical data. Journal of Biomedical Informatics 50(2014), 234-243.
3. CAVOUKIAN, A., TAYLOR, S., AND ABRAMS, M. Privacy by design: essential for organizational accountability and strong business practices. Identity in the Information Society 3, 2(2010), 405-413.
4. ELLERI, D., DUNGER, D. B., AND HOVORKA, R. Closed-loop insulin delivery for treatment of type 1 diabetes. BMC medicine 9(2011), 120. Review, Research Support, Non-U. S. Gov't, Research Support, N. I. H., Extramural,.
5. GENTRY, C. A Fully Homomorphic Encryption Scheme. PhD thesis, Stanford, CA, USA, 2009. AAI3382729.
6. HALEVI, S., AND SHOUP, V. Algorithms in helib. In Advances in Cryptology - CRYPTO 2014-34th Annual Cryptology Conference, Santa Barbara, CA, USA, August 17-21, 2014, Proceedings, Part I (2014), J. A. Garay and R. Gennaro, Eds., vol. 8616 of Lecture Notes in Computer Science, Springer, pp. 554-571.
7. JPC RODRIGUES, J., DE LA TORRE, I., FERNÁNDEZ, G., AND LÓPEZ-CORONADO, M. Analysis of the security and privacy requirements of cloud-based electronic health records systems. J Med Internet Res 15, 8(Aug. 2013), e186.
8. KOCABAS, O., AND SOYATA, T. Medical data analytics in the cloud using homomorphic encryption. In Handbook of Research on Cloud Infrastructures for Big Data Analytics, P. R. Chelliah and G. Deka, Eds. IGI Global, Hershey, PA, USA, Mar. 2014, ch. 19, pp. 471-488.
9. KOCABAS, Ö., SOYATA, T., COUDERC, J., AKTAS, M., XIA, J., AND HUANG, M. C. Assessment of cloud-based health monitoring using homomorphic encryption. In 2013 IEEE 31st International Conference on Computer Design, ICCD 2013, Asheville, NC, USA, October 6-9, 2013(2013), IEEE Computer Society, pp. 443-446.
10. LANGHEINRICH, M. Privacy by design - principles of privacy-aware ubiquitous systems. In Proceedings of the 3rd International Conference on Ubiquitous Computing (London, UK, UK, 2001), UbiComp'01, Springer-Verlag, pp. 273-291.
11. LÖHR, H., SADEGHI, A.-R., AND WINANDY, M. Securing the e-health cloud. In Proceedings of the 1st ACM International Health Informatics Symposium (New York, NY, USA, 2010), IHI'10, ACM, pp. 220-229.
12. PAGE, A., KOCABAS, Ö., AMES, S., VENKITASUBRAMANIAM, M., AND SOYATA, T. Cloud-based secure health monitoring: Optimizing fully-homomorphic encryption for streaming algorithms. In 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014(2014), IEEE, pp. 48-52.
13. PEARSON, S. Privacy, security and trust in cloud computing. In Privacy and Security for Cloud Computing, S. Pearson and G. Yee, Eds., Computer Communications and Networks. Springer London, 2013, pp. 3-42.
14. PREUVENEERS, D., AND BERBERS, Y. Mobile phones assisting with health self-care: a diabetes case study. In Mobile HCI (2008), G. H. ter Hofte, I. Mulder, and B. E. R. de Ruyter, Eds., ACM International Conference Proceeding Series, ACM, pp. 177-186.
15. RIEDL, B., GRASCHER, V., FENZ, S., AND NEUBAUER, T. Pseudonymization for improving the privacy in e-health applications. In Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences (Washington, DC, USA, 2008), HICSS'08, IEEE Computer Society, pp. 255-264.
16. TONYUSHKINA, K., AND NICHOLS, J. H. Glucose meters: a review of technical challenges to obtaining accurate results. Journal of diabetes science and technology 3, 4(July 2009), 971-980.
17. WILKOWSKA, W., AND ZIEFLE, M. Privacy and data security in e-health: Requirements from the user's perspective. pp. 191-201.