International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 185 - Issue 40 |
Published: Nov 2023 |
Authors: Rudhi Wahyudi, Moh. Ali Romli |
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Rudhi Wahyudi, Moh. Ali Romli . Android-based Patient Medical Record Data Security Application using AES and RSA Method Cryptography. International Journal of Computer Applications. 185, 40 (Nov 2023), 34-39. DOI=10.5120/ijca2023923205
@article{ 10.5120/ijca2023923205, author = { Rudhi Wahyudi,Moh. Ali Romli }, title = { Android-based Patient Medical Record Data Security Application using AES and RSA Method Cryptography }, journal = { International Journal of Computer Applications }, year = { 2023 }, volume = { 185 }, number = { 40 }, pages = { 34-39 }, doi = { 10.5120/ijca2023923205 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2023 %A Rudhi Wahyudi %A Moh. Ali Romli %T Android-based Patient Medical Record Data Security Application using AES and RSA Method Cryptography%T %J International Journal of Computer Applications %V 185 %N 40 %P 34-39 %R 10.5120/ijca2023923205 %I Foundation of Computer Science (FCS), NY, USA
Electronic Medical Records (EMR) have become an important part of modern health systems, as they store information such as demographics, medical history, and laboratory test results. The confidentiality and security of ERM data is essential to prevent misuse. In the context of data exchange between health services, the development of Android applications based on Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) is a solution to existing problems. This research focuses on the implementation of AES and RSA encryption to maintain the confidentiality and integrity of ERM data. The app uses AES to protect patients' medical record data on Android devices, with encryption keys secured using the RSA algorithm. This approach provides additional security by protecting encryption keys from unauthorized access. The use of this application effectively maintains the confidentiality of ERM data, reduces the risk of data misuse, and provides a sense of security to patients. Strong safety encourages wider use of EMR and improves overall healthcare quality.