A Novel Secure Prescription System

This research presents a novel system for monitoring antibiotic consumption, address-ing the critical need for transparency and accuracy in data management within healthcare settings. The objective is to enhance the monitoring process while ensuring robust security measures. The system’s user interface was developed using HyperText Markup Language (HTML) and Cascading Style Sheets (CSS), with Hypertext Prepro-cessor (PHP) managing database interactions and overall functionality. Security pro-tocols implemented include Transport Layer Security (TLS) 1.3 and 1.2 with Forward Secrecy (FS) to guarantee secure communications. A validation mechanism enforces the use of Hypertext Transfer Protocol Secure (HTTPS) across all URLs, complemented by a 256-bit Elliptic Curve Cryptography (ECC) Secure Sockets Layer (SSL) certificate. The effectiveness of these security measures was evaluated through tests simulating unauthorized access, Denial-of-Service (DoS), Distributed Denial-of-Service (DDoS), and SQL injection attacks, demonstrating the system’s resilience against various cyber threats. Furthermore, integrating machine learning techniques in Python is proposed to enhance the detection capabilities against SQL injection, thereby fortifying system security. Ultimately, this system aims to optimize hospital resource management, en-suring accurate monitoring of antibiotic consumption and contributing to sustainable healthcare practices.