The Internet of Things (IoT) is distinguished from other technical advancements by its extensive utilization. This approach has been employed in numerous fields. These domains encompass a diverse array of unidentified industries, such as energy, transportation, agriculture, healthcare, national security, and households. The gadgets need an internet connection to transmit such data, which is personal and hence needs to be kept confidential from illegal access. The sphere of cryptographic technologies stands out in ensuring the security of data—both in terms of secrecy and authenticity—stored on machines and shared over IoT. The algorithms attempt to prevent unauthorized individuals from decoding encrypted data, including Lightweight Cryptography Algorithms (LWC), which are intended to maximize the security of data while minimizing the consumption of resources during the encryption and decryption processes. Optimization significantly impacts Internet of Things (IoT) devices due to their compact dimensions, constrained resources (such as computational capacity, storage, and battery life), and limited capabilities. Implementing LWC-based algorithms for Internet of Things applications offers numerous advantages. Their efforts to improve power efficiency and security significantly extend the battery's longevity. The platform's ability to connect with a diverse array of Internet of Things (IoT) devices and communication protocols streamlines integration. This study suggests using a hybrid cryptography technique to improve the security of the IoT platform. The suggested methodology combines two independent algorithms—AES (SPN-based structure) and Camellia (FN-based structure). The use of the NIST-800-22 test suite shows that it works very well under various conditions even in producing random sequences. We observed an improvement in six different statistical tests, and from this study, we can conclude that the hybrid algorithm outperforms its parts individually in terms of performance. Consequently, it may be inferred that the hybrid algorithm offers enhanced security. Furthermore, the algorithm demonstrated superior performance compared to AES when subjected to a comparative examination. Furthermore, a minimal amount of extra RAM is required. The results and analysis presented in this research suggest that this algorithm could be a feasible choice for enhancing the security of Internet of Things devices.