Digital Twin: Securing IoT-Networks using integrated ECC with Blockchain for Healthcare Ecosystem

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Sharma, Vikas; Kumar, Akshi and Sharma, Kapil. 2024. Digital Twin: Securing IoT-Networks using integrated ECC with Blockchain for Healthcare Ecosystem. Knowledge and Information Systems, ISSN 0219-1377 [Article] (In Press)

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Official URL: https://link.springer.com/article/10.1007/s10115-0...

Abstract or Description

Digital Twin (DT) innovation is becoming increasingly prevalent in numerous areas. This is often particularly genuine in healthcare, which depends increasingly on Internet of Things (IoT) systems. But this combination brings up enormous issues with security, security, and being able to develop. Since information is private, it is exceptionally critical to keep it secure from individuals who shouldn't have gotten to it and from being stolen. This consideration proposes a modern framework that combines Elliptic Curve Cryptography (ECC) with blockchain innovation to bargain with these issues. The system is implied to ensure IoT systems by making demonstrative apparatuses in healthcare more secure. A Genetic Algorithm-based Random Forest demonstration (GAO-RF) is additionally utilized to form include choice work way better, which makes it beyond any doubt that information taking care of and analysis go easily. The GAO-RF show includes the body of unused thoughts by progressing the method of choosing highlights, which is exceptionally critical for proficiently overseeing colossal sums of private information. The model that was put into activity works exceptionally well, as appeared by its execution measurements as an F1-Score of 97.3%, an accuracy of 98.4%, a precision of 97.3%, a recall of 97.4%, an MCC of 97.69%, and a kappa measurement (KS) of 97.31%. These results show an exceptionally strong framework that can handle and protect private health data. The safety and security of understanding information in IoT systems have enormously progressed by including ECC and blockchain in the DT system. A Genetic Algorithm has been shown to work well in the Random Forest model for feature selection, which has led to better security methods. This study has big effects on the healthcare field because it gives us a strong way to keep patient information safe. This method creates trust in the healthcare system by making sure that private data is handled in an honest and safe way. It could change how patient data is protected in this digital age.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1007/s10115-024-02273-6

Additional Information:

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10115-024-02273-6

Data Access Statement:

No datasets were generated or analyzed during the current study.

Keywords:

Cybersecurity, Digital Twin (DT), Elliptical Curve Cryptography (ECC), Internet of Things (IoT)

Departments, Centres and Research Units:

Computing

Dates: