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The Security Algorithm BR22-01 Used to Secure the COVID'19 Health Data
1st International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022 ; 1719 CCIS:345-354, 2023.
Artículo en Inglés | Scopus | ID: covidwho-2250858
ABSTRACT
The current generation data is most valuable in people's life, because data only decided people's health affected in COVID'19 or not, and not only COVID'19 all related to health issues data. To analyze and predict the health issue data by using Machine Learning Algorithm. This prediction issues data has most confidential data and need more security. So, applying the previous method is ChaCha method. This method focusing only performance not fully security. The new method is BR22-01. This method has five stages. The 1st stage is finding the secret key x & y value. The 2nd stage is applying key in Eq. (1). The 3rd stage is merge all values into single row then pair from left and swap the values in the HS matrix. The 4th stage is applying key in Eq. (2). The 5th stage is merge all values into single line then pair from left and swap the values in the HC matrix but reverse. The new method has provide good security as well as performance while compared to ChaCha method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Texto completo: Disponible Colección: Bases de datos de organismos internacionales Base de datos: Scopus Idioma: Inglés Revista: 1st International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022 Año: 2023 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos de organismos internacionales Base de datos: Scopus Idioma: Inglés Revista: 1st International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022 Año: 2023 Tipo del documento: Artículo