Name
Abstract | ||
|---|---|---|
As the technology era progresses, many opportunities are brought to the healthcare industry. With the support of technology and Internet of Things platforms, e-healthcare is now more common than ever. However, the sensitive nature of healthcare records makes them vulnerable to many attacks. Therefore, a privacy-enabled framework for cloud-based e-healthcare systems is proposed to achieve privacy-preserved and secured communication in e-healthcare. The analysis of the proposed protocol is presented in this article to demonstrate that it is secure against all well-known security attacks and provides patient anonymity, doctor anonymity, and patient and doctor unlinkability while ensuring data confidentiality. Additionally, the security simulations are performed using the Automated Validation of Internet Security Protocols and Applications tool. We also performed the proposed framework's performance analysis and compared it with existing frameworks. The analysis result indicates that the proposed framework achieves encouraging performance over other frameworks while ensuring security. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2022.3170148 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Authentication,e-healthcare,healthcare industry,privacy,security | Journal | 18 |
Issue | ISSN | Citations |
11 | 1551-3203 | 0 |
PageRank | References | Authors |
0.34 | 19 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| aa ansari | 1 | 0 | 0.34 |
| b mishra | 2 | 0 | 0.34 |
| p gera | 3 | 0 | 0.34 |
| Muhammad Khurram Khan | 4 | 3538 | 204.81 |
| Chandan Chakraborty | 5 | 537 | 50.60 |
| Deepak Mishra | 6 | 386 | 74.15 |