| Title |
A Standard Mutual Authentication Protocol for Cloud Computing Based Health Care System
|
|---|---|
| Published in |
Journal of Medical Systems, February 2017
|
| DOI | 10.1007/s10916-017-0699-2 |
| Pubmed ID | |
| Authors |
Prerna Mohit, Ruhul Amin, Arijit Karati, G. P. Biswas, Muhammad Khurram Khan |
| Abstract |
Telecare Medical Information System (TMIS) supports a standard platform to the patient for getting necessary medical treatment from the doctor(s) via Internet communication. Security protection is important for medical records (data) of the patients because of very sensitive information. Besides, patient anonymity is another most important property, which must be protected. Most recently, Chiou et al. suggested an authentication protocol for TMIS by utilizing the concept of cloud environment. They claimed that their protocol is patient anonymous and well security protected. We reviewed their protocol and found that it is completely insecure against patient anonymity. Further, the same protocol is not protected against mobile device stolen attack. In order to improve security level and complexity, we design a light weight authentication protocol for the same environment. Our security analysis ensures resilience of all possible security attacks. The performance of our protocol is relatively standard in comparison with the related previous research. |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 13% |
| Student > Bachelor | 9 | 13% |
| Student > Ph. D. Student | 8 | 12% |
| Researcher | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 15 | 22% |
| Unknown | 16 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 31% |
| Engineering | 7 | 10% |
| Nursing and Health Professions | 5 | 7% |
| Business, Management and Accounting | 4 | 6% |
| Medicine and Dentistry | 4 | 6% |
| Other | 6 | 9% |
| Unknown | 20 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2017.
All research outputs
#20,449,496
of 23,005,189 outputs
Outputs from Journal of Medical Systems
#1,012
of 1,160 outputs
Outputs of similar age
#269,944
of 309,460 outputs
Outputs of similar age from Journal of Medical Systems
#18
of 18 outputs
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