ACCESS CONTROL AND PRIVACY PRESERVATION OF MEDICAL RECORDS WITH ENHANCED RIVEST-SHAMIR- ADLEMAN ALGORITHM USING COUNTER MODE ENCRYPTION

Abstract

Cryptography is a broad research area in the field of information technology, which deals with a protocol for securing data, information. Cryptography involves encryption and decryption mechanism in data access control and protection. Due to the large volume of data availability, a suitable environment has been created for illegal or criminal activities. This includes discrimination, stealing or modifying medical files or content for personal or commercial gain. However, this rapid growth in information theft has led to the development of many encryption mechanisms to protect user (patient) privacy and access control of confidential medical information. In order to overcome these problems of discrimination, data theft and medical records modification, this work proposed a robust integration of an Enhanced Rivest-ShamirAdleman

(RSA) Algorithm using Counter (CTR) mode encryption method in developing a faster, and secure techniques for medical record privacy preservation and access control. Python is used as programming language while kivy language is used to develop user interfaces. The hepatitis diagnosis dataset with 155 datasets (records) was downloaded from Kaggle repository, and used in testing and validating the implemented techniques. The encryption techniques were subjected to performance metrics that include; key length, encryption/decryption time, and Throughput. The proposed integrated algorithm (RSA and CTR) of encryption and decryption time gave the following results; (6.448m/s,38.67m/s) for 1KB data, (12.896m/s,77.38m/s) for 2KB data, (32.24m/s,193.9m/s) for 5KB data (64.48m/s,386m/s) for 10KB data respectively. Also, the key length gave (2 128 ) data size, and RSA (2 1024 ) data size, which together show a trillion possible key combinations, and Throughput gave 162.32(kb/s). In conclusion, the developed Technique shows that the encryption time is the fastest compared to the existing techniques. This technique can be used in medical sectors such as laboratory tests for (HIV and AIDS, COVID 19), to free people from discrimination, and other criminal acts in society.