Avisha I, Bhuvaneshwari G, Ramya G Franklin
email@example.com , firstname.lastname@example.org
Avisha I1, Bhuvaneshwari G1, Ramya G Franklin2
1UG Student, Dept. of Information Technology, Sathyabama University, Chennai, India.
2Assistant Professor, Dept. of Computer Science, Sathyabama University, Chennai, India.
Volume - 12,
Issue - 3,
Year - 2020
The repeated associations are a data concentrated space where a great deal of data is made, spread, set away, and found a good pace bit. For example, data is made when a patient encounters a few tests and the data will require to be disseminated to the radiographer and after that a position. The after effects of the visit will be set away at the recuperating office. Obviously improvement can envision a fundamental occupation in overhauling thought for patients and maybe rot costs by more capability distributing resources concerning workforce, plan. These challenges may prompt pleasing decisions not made with complete information, the basic for reiterated tests in context on missing information or on the other hand data being checked in another recouping fixation at a substitute state or country. This highlights the requirement for a sound additionally, secure data the board system.
Cite this article:
Avisha I, Bhuvaneshwari G, Ramya G Franklin. Blockchain for Medical Data Access and Management. Research J. Science and Tech. 2020; 12(3): 190-194. doi: 10.5958/2349-2988.2020.00026.1
1. Stefan Thomas, Evan Schwartz. A Protocol for Interledger Payments.
2. X. Xu et al., "The Blockchain as a Software Connector," 2016 13th Working IEEE/IFIP Conference on Software Architecture (WICSA), Venice, 2016, pp. 182-191.
3. Z. Zheng, S. Xie, H. Dai, X. Chen, and H. Wang, “An overview of blockchain technology: Architecture, consensus, and future trends,” in IEEE Int’l Congress on Big Data, June 2017, pp. 557–564.
4. K. Karlsson, W. Jiang, S. Wicker, D. Adams, E. Ma, R. van Renesse, and H. Weatherspoon, “Vegvisir: A partition-tolerant blockchain for the internet-of-things,” in IEEE ICDCS, 2018.
5. Z. Li, J. Kang, R. Yu, D. Ye, Q. Deng, and Y. Zhang, “Consortium blockchain for secure energy trading in industrial internet of things,” IEEE Trans. on Industrial Informatics, 2017.
6. W. Chen, M. Ma, Y. Ye, Z. Zheng, and Y. Zhou, “Iot service based on joint cloud blockchain: The case study of smart traveling,” in IEEE SOSE, March 2018, pp. 216–221.
7. N. Kshetri, “Can blockchain strengthen the internet of things?” It Professional, vol. 19, no. 4, pp. 68–72, 2017.
8. D. Miller, “Blockchain and the internet of things in the industrial sector,” It Professional, vol. 20, no. 3, pp. 15–18, 2018.
9. V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. Riedmiller, “Playing atari with deep reinforcement learning,” in NIPS Deep Learning Workshop’13, 2013
10. Hope-Bailie A, Thomas S. Interledger: Creating a Standard for Payments[C]// International Conference Companion on World Wide Web. International World Wide Web Conferences Steering Committee, 2016:281-282
11. Cosmos. [EB/OL].2017[2017-08-01] https://cosmos.network/whitepaper
12. Michael Crosby, Nachiappan, et al. blockchain technology beyond bitcoin, air Applied Innovation Audit[J] ,June 2016. Issue No. 2
14. Aitzhan N Z, Svetinovic D. Security and Privacy in Decentralized Energy Trading through Multi-signatures, Blockchain and Anonymous Messaging Streams [J]. IEEE Transactions on Dependable and Secure Computing, 2016.
15. Chinese Blockchain Technology Application and Development White Paper
16. Chen Z. Research on Private Blockchain Based on Crowdfunding[J]. Journal of Information Security Research, 2017, 3(3): 227-236.
17. Back A, Corallo M, Dashjr L, et al. Enabling Blockchain Innovations with Pegged Sidechains. White paper, Blockstream, 2014[J].
18. Hope-Bailie A, Thomas S. Interledger: Creating a Standard for Payments[C]// International Conference Companion on World Wide Web. International World Wide Web Conferences Steering Committee, 2016:281-282.
19. Greenspan G. MultiChain Private Blockchain—White Paper [J]. 2015.
20. Ann-Router. [EB/OL].2017[2017-03- 01] http://7i7ifh.com1.z0.glb.clouddn.com/whitepaper.
21. Preeti Agrawal, Yogesh Rathore. An Approach for Effective Resource Management in Cloud Computing. Int. J. Tech. 1(2): July-Dec. 2011; Page 121-124
22. Anjaneyulu GSGN, Yogendra Singh Sisodiya, Kumar Saurav. Novel Composite Encryption for Secrecy in Cloud Computing. Research J. Pharm. and Tech 2016; 9(9):1501-1504.
23. Sanjay Kumar Baghel, Bhupesh Kumar Dewangan. Defense in Depth for Data Storage in Cloud Computing. Int. J. Tech. 2(2): July-Dec. 2012; Page 58-61
24. Nandhini. R. Deduplication of Data Storage Management in Cloud Computing. Research J. Engineering and Tech. 2019;10(1):46-49.
25. Anjaneyulu GSGN, Yogendra Singh Sisodiya, Kumar Saurav. Novel Composite Encryption for Secrecy in Cloud Computing. Research J. Pharm. and Tech 2016; 9(9):1501-1504.
26. Ms.V. Surya, J. Albert Mayan. A Secure Data Sharing Mechanism in Dynamic Cloud by Using KP-ABE. Research J. Pharm. and Tech. 2017; 10(1): 83-86.
27. Rashmita Kumari Mohapatra, Badri Narayan Mohapatra, Prangya Prava Panda. Application and Security in Internet of Things (IOTs). Int. J. Tech. 2018; 9(1):01-04.
28. Komal Gajanan Nadekar, Siddhata Hushar Ramteke, Priyanka Suresh Babulkar, Jotesh R. Dhuriya, Nikesh Aote. Annexure Privacy Preserving Public Auditing for Data Storage Security in Cloud Computing. Research J. Engineering and Tech. 6(2): April-June, 2015 page 301-304.
29. Raghunandan G. A Study on Bitcoins - A Smart Currency. Asian Journal of Management. 2018; 9(2):925-928.
30. P. L. Sharma, Kiran Devi. A public key cryptosystem using normal bases over finite fields. Int. J. Tech. 2016; 6(2): 143-149.