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The introduction of cryptography has brought plenty of improvement to health informatics, but not really employed in health institutes and this is often as a results of the protection issues that come together with the employment of e-Health systems. Security issues is taken into account a significant concern which is why health institutes still opt to follow the normal way of addressing health records. This study aim to ensure data security in health record using enhanced Ceasar Cipher, Affine Cipher Cryptographic Techniques.
This method used is considered a double enhanced encryption algorithm because it combines an enhanced Ceasar encryption method with Affine Cipher encryption technique to enhance security of medical health records. The integration of the enhanced Caesar and affine ciphers is as follows: First, each field in the record is encrypted with the enhanced Caesar cipher encryption method, and the encrypted output is used as the input for the affine cipher encryption method.
The result of this study is presented as a mathematical setup to show how the ceasar technique and the affine technique is being implemented to aid the development of this system as a software solution in further studies.
In conclusion, the main aim of cryptographic system is to protect the confidentiality of data both at rest and in transit. With the mix of the enhanced Ceasar Cipher method and Affine cipher, these techniques has helped to enhance effectiveness.
"Towards Securing Electronic Health Records using Ceasar And Affine Cryptographic Techniques", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.46 - 50, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212008.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator