Secure Multiparty computation enabled E-Healthcare system with Homomorphic encryption

With the spread of Covid-19 pandemic it is difficult for many patients to physically visit the Hospitals and get treatment. The Improved technology enable such patients to contact the concern doctors and get diagnosis information online. The security of the sensitive data of the Patients is vulnerab...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IOP conference series. Materials Science and Engineering Ročník 981; číslo 2; s. 22079 - 22087
Hlavní autoři: Vijaya Kumar, A, Sujith, Mogalapalli Sai, Sai, Kosuri Tarun, Rajesh, Galla, Yashwanth, Devulapalli Jagannadha Sriram
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bristol IOP Publishing 01.12.2020
Témata:
Computation
Encryption
Health services
Pandemics
Patients
Physicians
Privacy
Security
ISSN:1757-8981, 1757-899X
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:With the spread of Covid-19 pandemic it is difficult for many patients to physically visit the Hospitals and get treatment. The Improved technology enable such patients to contact the concern doctors and get diagnosis information online. The security of the sensitive data of the Patients is vulnerable when the information is shared across the network. To address this, we are proposing a novel approach with the Privacy ensured self-care health management schema using Secure Multiparty computation (MPC). Through this approach the patient can share the sensitive data to the Hospital server through the online mode, the data will be shared in the encrypted format which will be matched with the existing data at the Hospital records and the best relevant match based on the smart Index of disease. The privacy preserving is key aspect in this model as the data is shared in the sensitive mode so the Homomorphic Encryption (HE) approach is used to perform computations on the Patient's sensitive data in the encrypted mode and ensure the confidentiality from Intruders to access the information. This model also proposes a novel approach which can overcome many security threats. The patient's data will be shared and used in a more secured manner so the patients specifically the elder who are not advised to visit the public places in this pandemic can also receive better treatment through online.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/981/2/022079