The growing number of Internet of Things (IoT) devices necessitates the use of reliable and efficient cryptographic solutions to ensure the safety of data transmission and storage. Traditional cryptographic algorithms can be difficult to implement without sacrificing performance or security due to significant resource constraints in many IoT devices. This paper aims to evaluate the performance of classical and post-quantum cryptographic libraries on IoT hardware, specifically using PyCryptodome Python Library for traditional cryptography and Kyber 512 for post-quantum system for encryption. In resource-constrained environments, the study evaluates the security features, computational efficiency, and feasibility of these libraries. The Raspberry Pi 5 platform was used to conduct experiments that analyzed encryption and decryption performance, giving insights into the trade-offs between security and processing overhead. Using the findings, one can choose the best cryptographic solutions for IoT devices based on their performance, security, and hardware limitations.

Using the Kyber 512 algorithm on a Raspberry Pi platform, a practical implementation of post-quantum cryptographic algorithms was carried out as part of this study. Python was used to analyze the feasibility of deploying quantum-resistant cryptography in IoT environments through this implementation. Cryptographic performance in constrained environments is compared scientifically through the measurement of encryption and decryption times in the study. The research provides valuable insight into the computational overhead and feasibility of implementing post-quantum cryptographic solutions on hardware that is limited in resources. Scientific graphs were created to illustrate the complexity of encryption and decryption time, providing a visual representation of performance variations in various scenarios. The trade-offs between security and computational efficiency, which are crucial for real-world IoT applications, can be understood by understanding these graphs. In addition, the study discusses potential optimizations and future directions that can enhance the efficiency of cryptographic operations in IoT hardware. To sum up, this paper advances the study of cryptographic applications for IoT by exploring the viability of post-quantum cryptographic algorithms in constrained environments. By considering the findings, IoT security can be strengthened against emerging cyber threats by selecting optimized cryptographic libraries that balance security, performance, and hardware limitations.