A Security Control Strategy Based on Blockchain for Attack Detection in the Health Care Environment

Abstract

The usage of blockchain in healthcare spans a wide range of applications, including secure patient identification, clinical research, medication management, insurance, and the detection of medical fraud. In the hospital system, attack detection is also the most challenging responsibility. As a result, the data will be protected in this research by a revolutionary Blockchain-based African Buffalo Identity-Based Encryption (BABIBE) system. The system that is built in the Python program also collects and trains Electronic Health Records (EHR). Update the blockchain security to detect and ignore threats while also continuously monitoring them. The IBE approach, which encrypts data using the public key and decrypts it by private key, is used to secure data. As a result, blocks receive encrypted data that is then added to the blockchain using the private key. Additionally, depending on the threshold value, identify attacks, and compare the created technique's performance results with those of other traditional models, like energy consumption, throughput, latency, computation time, and detection rate.