Abstract

The rapid advancement of 5G technology has spurred the growth of Internet of Things (IoT) applications,
which demand high performance in terms of data accuracy, security, and network efficiency. This paper
presents the design and evaluation of an efficient IoT model tailored for 5G applications, with a focus on
enhancing accuracy and ensuring robust security. The proposed model integrates advanced compression and
encryption techniques to address the challenges associated with large-scale data transmission and potential
cybersecurity threats in 5G environments. Specifically, data compression algorithms are utilized to reduce the
volume of transmitted information, optimizing bandwidth usage and improving transmission speeds.
Meanwhile, encryption methods are employed to secure sensitive data, safeguarding it from unauthorized
access and ensuring privacy compliance. We evaluate the model’s effectiveness through a series of
simulations that measure its impact on key performance indicators such as data accuracy, transmission
latency, energy consumption, and security levels. The results demonstrate that the integrated approach
significantly improves IoT performance in 5G networks, offering a scalable and secure solution suitable for a
wide range of applications, from smart cities to industrial automation. This study provides insights into the
practical application of compression and encryption techniques to enhance the performance and security of
IoT systems in the context of 5G