SECURING A PATIENT'S HEALTH REMOTELY USING LIGHT CRYPTOGRAPHY

Light cryptography is a variant of conventional cryptography designed to minimize resource requirements. It is particularly well suited to the connected devices of the Internet of Things (IoT). Remote patient monitoring using the Internet of Things is a fast-moving field. This article presents a secure system for remotely monitoring vital patient parameters such as body temperature, heart rate and rhythm, while geolocating the patient. The device is placed on the patient to record his or her parameters, as well as geographical data, and then sends it to the doctor. Remote management of health data, such as vital parameters and patient geolocation, requires enhanced security due to the sensitivity of the information transmitted to healthcare professionals. Wireless communication networks are particularly vulnerable to security threats. This is why cryptography plays a crucial role in securing the data transmitted, from the sensor to the main node, before it is displayed online. In this context, the Ngrock platform is used to create a secure tunnel, remote local access to the module. A study of the most suitable and fastest algorithms was carried out, and we opted for the AES algorithm, recognized as one of the best algorithms thanks to its simplicity, lightness and suitability for IoT applications. At the end of the project, we produced a 3D-modelled prototype in line with the initial specifications, accompanied by an AES algorithm from a dedicated library, to ensure data security. Performance analysis showed that the algorithm used had no noticeable impact on system execution time, with an observed lag of around 1ms.

Authors

Publication Details

Journal
Indian Journal of Computer Science and Engineering
Published
2025-08-20
DOI
https://doi.org/10.21817/indjcse/2025/v16i4/251604011
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

SECURING A PATIENT'S HEALTH REMOTELY USING LIGHT CRYPTOGRAPHY

Mengata Mengounou Ghislain, Nneme Nneme Léandre, ELAD Georgette Jocelyne
Indian Journal of Computer Science and Engineering
IoT and Edge/Fog Computing
article

SECURING A PATIENT'S HEALTH REMOTELY USING LIGHT CRYPTOGRAPHY

Mengata Mengounou Ghislain, Nneme Nneme Léandre, ELAD Georgette Jocelyne
article en

Abstract

Light cryptography is a variant of conventional cryptography designed to minimize resource requirements. It is particularly well suited to the connected devices of the Internet of Things (IoT). Remote patient monitoring using the Internet of Things is a fast-moving field. This article presents a secure system for remotely monitoring vital patient parameters such as body temperature, heart rate and rhythm, while geolocating the patient. The device is placed on the patient to record his or her parameters, as well as geographical data, and then sends it to the doctor. Remote management of health data, such as vital parameters and patient geolocation, requires enhanced security due to the sensitivity of the information transmitted to healthcare professionals. Wireless communication networks are particularly vulnerable to security threats. This is why cryptography plays a crucial role in securing the data transmitted, from the sensor to the main node, before it is displayed online. In this context, the Ngrock platform is used to create a secure tunnel, remote local access to the module. A study of the most suitable and fastest algorithms was carried out, and we opted for the AES algorithm, recognized as one of the best algorithms thanks to its simplicity, lightness and suitability for IoT applications. At the end of the project, we produced a 3D-modelled prototype in line with the initial specifications, accompanied by an AES algorithm from a dedicated library, to ensure data security. Performance analysis showed that the algorithm used had no noticeable impact on system execution time, with an observed lag of around 1ms.

Indian Journal of Computer Science and EngineeringVol. 16(4)
Openalex Percentile: Top 74%
IoT and Edge/Fog Computing
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SECURING A PATIENT'S HEALTH REMOTELY USING LIGHT CRYPTOGRAPHY — Mengata Mengounou Ghislain, Nneme Nneme Léandre, et al. · Indian Journal of Computer Science and Engineering (2025) | TGRS Research Map | TGRS