The lightweight security systems are essential for IoT and Edge devices because they strike a balance between security and resource constraints. They ensure that these devices can operate efficiently and securely in a wide range of applications while minimizing the risks associated with cyber threats and data breaches. Security in healthcare applications has increasingly become a significant focal point for the research community. To address these challenges, several emerging technologies have gained attention, including Machine Learning, Deep Learning, and Blockchain. However, it is important to note that these solutions are not without their imperfections. The practicality of implementing a comprehensive cryptographic system is limited by factors such as power consumption, physical space, and cost. Given these constraints, the emphasis is placed on employing lightweight cryptography that minimizes memory usage as much as possible. The primary goal of a lightweight cipher is to occupy minimal memory space while also achieving an efficient hardware implementation with a reduced Gate Equivalent (GEs) count, all without com-promising the essential security properties required. This article unveils a solution – a lightweight implementation of the Advanced Encryption Standard (AES), a robust symmetric cryptography algorithm. This implementation is executed on a field-programmable gate array (FPGA), to meet the demands of resource-constrained IoT devices, thereby fortifying their security..