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#6164. An efficient mutual authentication and privacy prevention scheme for e-healthcare monitoring
| September 2026 | publication date |
| Proposal available till | 12-05-2025 |
| 4 total number of authors per manuscript | 0 $ |
| The title of the journal is available only for the authors who have already paid for |
| Journal’s subject area: |
| Safety, Risk, Reliability and Quality; Computer Networks and Communications; Software; |
| place 1 | place 2 | place 3 | place 4 |
| Free | Free | Free | Free |
| 2350 $ | 1200 $ | 1050 $ | 900 $ |
Contract №6164.1   | Contract №6164.2 | Contract №6164.3 | Contract №6164.4 |
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
The progressive development in online healthcare monitoring may facilitate better service for recovered patients from some pandemic diseases like the novel Covid-19 and even in well-known diseases such as cancer, heart attack, and many more. This paper brings a mutual authentication protocol for the e-healthcare monitoring system using the telecare medical information system with body sensors. This scheme comes with a secure platform for communication by using three phases: patient data upload phase, treatment phase, and report delivery phase. The patients medical information is susceptible and must be protected from any modification. The two security issues (secure communication and privacy of patient information) are essential for the transmission over the public channel. The proposed protocol uses mobile characteristics that allow the recovered patients to use medical facilities effectively. The well-known traditional informal security analysis like the Man-in-the-middle attack, patient anonymity, doctor anonymity, and many more are validated to judge the security aspect of the proposed protocol. In addition, the widely accepted formal security analysis (both Burrows–Abadi–Needham (BAN) logic and Real-or-Random Model (ROR)) are investigated for the session-key security. Finally, the proposed e-healthcare monitoring protocol provides an efficient characteristic in terms of communication, computation, and storage cost compared to existing literature.
Keywords:
BAN logic; Body sensor network; Mutual authentication; ROR model; TMIS
Contacts :
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)
More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
The progressive development in online healthcare monitoring may facilitate better service for recovered patients from some pandemic diseases like the novel Covid-19 and even in well-known diseases such as cancer, heart attack, and many more. This paper brings a mutual authentication protocol for the e-healthcare monitoring system using the telecare medical information system with body sensors. This scheme comes with a secure platform for communication by using three phases: patient data upload phase, treatment phase, and report delivery phase. The patients medical information is susceptible and must be protected from any modification. The two security issues (secure communication and privacy of patient information) are essential for the transmission over the public channel. The proposed protocol uses mobile characteristics that allow the recovered patients to use medical facilities effectively. The well-known traditional informal security analysis like the Man-in-the-middle attack, patient anonymity, doctor anonymity, and many more are validated to judge the security aspect of the proposed protocol. In addition, the widely accepted formal security analysis (both Burrows–Abadi–Needham (BAN) logic and Real-or-Random Model (ROR)) are investigated for the session-key security. Finally, the proposed e-healthcare monitoring protocol provides an efficient characteristic in terms of communication, computation, and storage cost compared to existing literature.
Keywords:
BAN logic; Body sensor network; Mutual authentication; ROR model; TMIS
Contacts :
