Towards privacy-preserving medical cloud computing using homomorphic encryption

Enabling Real-Time Mobile Cloud Computing through Emerging Technologies

Volumn , Issue , 2015, Pages 213-246

  Kocabas, Ovunc ^a   Soyata, Tolga ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD COMPUTING; DIAGNOSIS; DISTRIBUTED COMPUTER SYSTEMS; HEALTH; HEALTH CARE; MEDICAL COMPUTING; MEDICAL INFORMATION SYSTEMS; PATIENT MONITORING;

FEASIBILITY STUDIES; FULLY HOMOMORPHIC ENCRYPTION; HEALTH CARE PROFESSIONALS; HEALTH INFORMATIONS; HEALTHCARE ORGANIZATIONS; HO-MOMORPHIC ENCRYPTIONS; PRIVACY PRESERVING; PRIVACY REGULATION;

CRYPTOGRAPHY;

EID: 84957989814     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-4666-8662-5.ch007     Document Type: Chapter

References (70)

1. Aktas, M., Shah, A. H., & Akiyama, T. (2007). Dofetilide-Induced Long QT and Torsades de Pointes. Annals of Noninvasive Electrocardiology, 12(3), 197-202. doi:10.1111/j.1542-474X.2007.00161.x PMID:17617063.
2. AliveCor. (n.d.). AliveCor Heart Monitor. Retrieved from http://www.alivecor.com.
3. Amazon Web Services. (n.d.). Retrieved from http://aws.amazon.com.
4. Badilini, F. (1998). The ISHNE Holter Standard Output File Format. Annals of Noninvasive Cardiology, 263-266.
5. Bazzett, H. (1997). An analysis of the time-relations of electrocardiograms. Annals of Noninvasive Electrocardiology, 2(2), 177-194. doi:10.1111/j.1542-474X.1997.tb00325.x.
6. Boneh, D., Goh, E.-J., & Nissim, K. (2005). Evaluating 2-DNF Formulas on Ciphertexts. Proceedings of the 2nd International Conference on Theory of Cryptography, (pp. 325-341). doi:10.1007/978-3-540-30576-7_18.
7. Bos, J. W., Lauter, K., & Naehrig, M. (2014). Private predictive analysis on encrypted medical data. Journal of Biomedical Informatics, 50, 234-243. doi:10.1016/j.jbi.2014.04.003 PMID:24835616.
8. Brakerski, Z., Gentry, C., & Vaikuntanathan, V. (2012). Leveled Fully Homomorphic Encryption without Bootstrapping. Proceedings of the 3rd Innovations in Theoretical Computer Science Conference, (pp. 309-325). doi:10.1145/2090236.2090262.
9. Brakerski, Z., & Vaikuntanathan, V. (2011). Efficient Fully Homomorphic Encryption from Standard LWE. Foundations of Computer Science, 97-106.
10. Brakerski, Z., & Vaikuntanathan, V. (2011). Fully homomorphic encryption from ring-LWE and security for key dependent messages (pp. 505-524). CRYPTO. doi:10.1007/978-3-642-22792-9_29.
11. Brenyo, A. J., Huang, D. T., & Aktas, M. (2011). Congenital long and short qt syndromes. Cardiology, 122(4), 237-247. doi:10.1159/000339537 PMID:22906875.
12. CardioLeaf. (2013). Clearbridge VitalSigns CardioLeaf PRO. Retrieved from http://www.clearbridgevitalsigns. com/pro.html.
13. CareCloud. (2013). Retrieved from http://www.carecloud.com/.
14. Cohen, J. D., & Fischer, M. J. (1985). A robust and verifiable cryptographically secure election scheme. Symposium on Foundations of Computer Science (pp. 372-382). IEEE. doi:10.1109/SFCS.1985.2.
15. Coron, J.-S., Mandal, A., Naccache, D., & Tibouchi, M. (2011). Fully homomorphic encryption over the integers with shorter public keys (pp. 487-504). CRYPTO. doi:10.1007/978-3-642-22792-9_28.
16. Couderc, J., Xia, J., McGrath, M., Zareba, W., Slaton, B., & Kakulavaram, A. et al.. (2011). Increased repolarization heterogeneity is associated with increased mortality in hemodialysis patients. Computers in Cardiology, 845-848.
17. Couderc, J., Xia, J., Xu, X., Kaab, S., Hinteeser, M., & Zareba, W. (2010). Static and dynamic electrocardiographic patterns preceding torsades de pointes in the acquired and congenital long QT syndrome. Computers in Cardiology, 357-360. PMID:22068668.
18. Couderc, J.-P. (2010). The Telemetric and Holter ECG Warehouse initiative (THEW): A data repository for the design, implementation and validation of ECG related technologies. IEEE Engineering in Medicine and Biology Society (EMBC), 6252-6255.
19. Couderc, J.-P., Garnett, C., Li, M., Handzel, R., McNitt, S., Xia, X., & Zareba, W. et al. (2011). Highly automated QT measurement techniques in 7 thorough QT studies implemented under ICH E14 guidelines. Annals of Noninvasive Electrocardiology, 16(1), 13-24. doi:10.1111/j.1542-474X.2010.00402.x PMID:21251129.
20. Dadda, L. (1965). Some schemes for parallel multipliers. Alta Frequenza, 349-356.
21. Dai, W., Doroz, Y., & Sunar, B. (2014). Accelerating ntru based homomorphic encryption using gpus. High Performance Extreme Computing Conference.
22. Damgard, I., & Jurik, M. (2001). A generalisation, a simplification and some applications of paillier's probabilistic public-key system, (pp. 119-136). Public Key Cryptography.
23. DARPA-PROCEED. (n.d.). Retrieved from DARPA-PROCEED: http://www.darpa.mil/Our_Work/I2O/Programs/PROgramming_Computation_on_EncryptEd_Data_(PROCEED).aspx.
24. Dijk, M., Gentry, C., Halevi, S., & Vaikuntanathan, V. (2010). Fully Homomorphic Encryption over the Integers. Advances in Cryptology (EUROCRYPT), 24-43.
25. Dr Chrono. (2013). Retrieved from https://drchrono.com.
26. El Gamal, T. (1985). A Public Key Cryptosystem and a Signature Scheme based on Discrete Logarithms. IEEE Transactions on Information Theory, 31(4), 469-472. doi:10.1109/TIT.1985.1057074.
27. Fink, M., Noble, D., Virag, L., Varro, A., & Giles, W. R. (2008). Contributions of HERG K+ current to repolarization of the human ventricular action potential. Progress in Biophysics and Molecular Biology, 96(1-3), 357-376. doi:10.1016/j.pbiomolbio.2007.07.011 PMID:17919688.
28. Gentry, C. (2009). A Fully Homomorphic Encryption Scheme. Stanford University.
29. Gentry, C., & Halevi, S. (2011). Fully homomorphic encryption without squashing using depth-3 arithmetic circuits (pp. 107-109). FOCS. doi:10.1109/FOCS.2011.94.
30. Gentry, C., & Halevi, S. (2011). Implementing Gentry's fully-homomorphic encryption scheme, (pp. 129-148). EUROCRYPT.
31. Gentry, C., Halevi, S., & Smart, N. (2012). Better bootstrapping in fully homomorphic encryption, (pp. 1-16). PKC.
32. Gentry, C., Halevi, S., & Smart, N. (2012). Fully homomorphic encryption with polylog overhead, (pp. 465-482). EUROCRYPT.
33. Gentry, C., Halevi, S., & Smart, N. P. (2012). Homomorphic evaluation of the AES circuit, (pp. 850-867). CRYPTO.
34. Goldwasser, S., & Micali, S. (1982). Probabilistic Encryption - How to Play Mental Poker Keeping Secret all Partial Information. Proceedings of the 14th Annual ACM Symposium on Theory of Computing, (pp. 365-377). doi:10.1145/800070.802212.
35. Google Cloud Platform. (n.d.). Retrieved from https://cloud.google.com.
36. Halevi, S., & Shoup, V. (2014). HElib Fully Homomorphic Encryption Library. Retrieved from http:// www.github.com/shaih/HElib.
37. Hoyert, D. L., & Xu, J. (2012). Deaths: Preliminary data for 2011. National Vital Statistics Reports, 61, 1-51. PMID:24984457.
38. Kocabas, O., & Soyata, T. (2014). Medical Data Analytics in the cloud using Homomorphic Encryption. In Handbook of Research on Cloud Infrastructures for Big Data Analytics (pp. 471-488). US: IGI Global. doi:10.4018/978-1-4666-5864-6.ch019.
39. Kocabas, O., Soyata, T., Couderc, J.-P., Aktas, M., Xia, J., & Huang, M. (2013). Assessment of Cloudbased Health Monitoring using Homomorphic Encryption. Proceedings of the 31th IEEE Conference on Computer Design, (pp. 443-446). Asheville, NC, USA. doi:10.1109/ICCD.2013.6657078.
40. Kogge, P. M., & Stone, H. S. (1973). A parallel algorithm for the efficient solution of a general class of recurrence equations. Transactions on Computers, 786-793.
41. Kwon, M., Dou, Z., Heinzelman, W., Soyata, T., Ba, H., & Shi, J. (2014). Use of Network Latency Profiling and Redundancy for Cloud Server Selection. Proceedings of the 7th IEEE International Conference on Cloud Computing (IEEE CLOUD 2014), (pp. 826-832). Alaska. doi:10.1109/CLOUD.2014.114.
42. Microsoft Windows Azure. (n.d.). Retrieved from http://www.microsoft.com/windowsazure.
43. Naehrig, M., Lauter, K., & Vaikuntanathan, V. (2011). Can homomorphic encryption be practical? Proceedings of the 3rd ACM workshop on Cloud computing security workshop. ACM. doi:10.1145/2046660.2046682.
44. NCSU. (2014). Free PDK 45nm Standard Cell Library. Retrieved from http://www. eda.ncsu.edu/wiki/FreePDK45.
45. NIST-AES. (2001). Advanced encryption standard. AES.
46. Page, A., Kocabas, O., Ames, S., Venkitasubramaniam, M., & Soyata, T. (2014). Cloud-based Secure Health Monitoring: Optimizing Fully-Homomorphic Encryption for Streaming Algorithms. IEEE Globecom 2014 Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA). Austin, TX.
47. Page, A., Kocabas, O., Soyata, T., Aktas, M., & Couderc, J.-P. (2014). Cloud-Based Privacy-Preserving Remote ECG Monitoring and Surveillance. Annals of Noninvasive Electrocardiology, n/a. doi:10.1111/ anec.12204 PMID:25510621.
48. Paillier, P. (1999). Public Key Cryptosystems Based on Composite Degree Residuosity Classes (pp. 223-238). Advances in Cryptology. doi:10.1007/3-540-48910-X_16.
49. Powers, N., Alling, A., Gyampoh-Vidogah, R., & Soyata, T. (2014). AXaaS: Case for Acceleration as a Service. IEEE Globecom 2014 Workshop on Cloud Computing Systems, Networks, and Applications.
50. Rivest, R., Adleman, L., & Shamir, A. (1978). A method for obtaining digital signatures and public-key cryptosystems. Communications of the ACM, 21(2), 120-126. doi:10.1145/359340.359342.
51. Rivest, R. L., Adleman, L., & Dertouzos, M. L. (1978). On data banks and privacy homomorphisms. Foundations of secure computation, 169-179.
52. Savage, J. E. (1997). Models of Computation: Exploring the Power of Computing.
53. Scarfone, K., Souppaya, M., & Sexton, M. (2007). Guide to storage encryption technologies for end user devices. NIST Special Publication, 111.
54. Shah, R. (2004). Drug-induced QT interval prolongation: Regulatory perspectives and drug development. Annals of Medicine, 36(s1), 47-52. doi:10.1080/17431380410032445 PMID:15176424.
55. Shah, R. R. (2005). Drug-induced QT interval prolongation regulatory guidance and perspectives on hERG channel studies. Novartis Foundation Symposium, (pp. 251-280). doi:10.1002/047002142X.ch19.
56. Smart, N. P., & Vercauteren, F. (2010). Fully homomorphic encryption with relatively small key and ciphertext sizes (pp. 420-443). PKC. doi:10.1007/978-3-642-13013-7_25.
57. Smart, N. P., & Vercauteren, F. (2014). Fully homomorphic (SIMD) operations. Designs, Codes and Cryptography, 71(1), 57-81. doi:10.1007/s10623-012-9720-4.
58. Soyata, T., Ba, H., Heinzelman, W., Kwon, M., & Shi, J. (2013). Accelerating mobile cloud computing:A survey. In Communication Infrastructures for Cloud Computing, (pp. 175-197). IGI Global.
59. Soyata, T., Muraleedharan, R., Ames, S., Langdon, J., Funai, C., & Kwon, M. et al.. (2012). COMBAT:Mobile Cloud-based cOmpute/coMmunications infrastructure for BATtlefield applications. [Baltimore, MD.]. Proceedings of the Society for Photo-Instrumentation Engineers, 8403, 84030K-84030K, 84030K-13. doi:10.1117/12.919146.
60. Soyata, T., Muraleedharan, R., Funai, C., Kwon, M., & Heinzelman, W. (2012). (Cloud-Vision:) (Real-Time) Face Recognition Using a (Mobile-Cloudlet-Cloud) Acceleration Architecture. Proceedings of the 17th IEEE Symposium on Computers and Communications (IEEE ISCC 2012), (pp. 59-66). Cappadocia, Turkey. doi:10.1109/ISCC.2012.6249269.
61. Stehle, D., & Steinfeld, R. (2010). Faster fully homomorphic encryption, (pp. 377-394). ASIACRYPT.
62. University of Rochester. CIRC. (n.d.). Bluehive Cluster. Retrieved from http://www.circ.rochester.edu/ wiki/ index.php/BlueHiveCluster.
63. US Department of Health and Human Services. (2014). Retrieved from HIPAA: http://www.hhs.gov/ ocr/privacy/.
64. US Government Printing Office. (n.d.). Patient Protection and Affordable Care Act. Retrieved from http://www.gpo.gov/fdsys/pkg/BILLS-111hr3590enr/pdf/BILLS-111hr3590enr.pdf.
65. US-HHS. (n.d.). Business Associate Agreement. Retrieved from http://www.hhs.gov/ocr/privacy/hipaa/ understanding/coveredentities/contractprov.html.
66. Wallace, C. S. (1964). A suggestion for a fast multiplier. Transactions on Electronic Computers, 14-17.
67. Wang, H., Liu, W., & Soyata, T. (2014). Accessing Big Data in the Cloud Using Mobile Devices. In P. R. Dek (Ed.), Handbook of Research on Cloud Infrastructures for Big Data Analytics (pp. 444-470). Hershey, PA, USA: IGI Global. doi:10.4018/978-1-4666-5864-6.ch018.
68. Wang, W., Hu, Y., Chen, L., Huang, X., & Sunar, B. (2013). Exploring the feasibility of fully homomorphic encryption. Transactions on Computers.
69. Woosley, R. L. (2001). Drugs That Prolong the QT Interval and/or Induce Torsades de Pointes. Tech. rep., Torsades.org.
70. Zareba, W., Moss, A. J., le Cessie, S., Locati, E. H., Robinson, J. L., Hall, W., & Andrews, M. L. (1995). Risk of cardiac events in family members of patients with long QT syndrome. Journal of the American College of Cardiology, 26(7), 1685-1691. doi:10.1016/0735-1097(95)60383-2 PMID:7594104.