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The internet of things (IoT) relies on fifth generation (5G) networks as the foundation for interconnecting devices. Wireless networks are an essential component of 5G‐IoT technology, as they provide the means to interconnect devices and transmit data wirelessly. The performance of the wireless network, including its capacity, integrity, bandwidth, and latency, is critical in ensuring the reliable and secure transmission of data in 5G‐IoT. 5G is being developed with the goal of delivering exceptionally high capacity, solid integrity, high bandwidth, and low latency. With the development and innovation of new approaches for 5G‐IoT, new significant security and privacy concerns are certain to arise. As a result, secure data transmission mechanisms will be required as the foundation for 5G‐IoT technologies in order to solve these emerging difficulties. Deoxyribonucleic acid (DNA) cryptograms encrypt data by utilizing it as a carrier and biological technology. On an 8 by 8 multiantenna single carrier frequency division multiple access (SC‐FDMA) wireless system, we evaluate and compare the performance of DNA sine map‐based encrypted images using three different modulation algorithms: 16‐QAM, 16‐PSK, and 16‐DPSK. We also determine the bit error rate (BER) value for different signal to noise ratio (SNR) by analyzing the decrypted image's modulation performance. The methods minimum mean square error (MMSE), minimum mean error square successive interference cancelation (MMSE‐SIC), and zero‐forcing (ZF) are utilized for signal detection. Simulations in MATLAB reveal that the system is very effective and reliable when tested with MMSE‐SIC signal detection, 16‐QAM modulation, and low‐density parity check (LDPC) channel coding. This article presents the following main contributions: A comprehensive evaluation of the performance of DNA sine map‐based encrypted images using three distinct detection techniques.A novel approach for enhancing the security of image data through DNA cryptograms.Identification of the limitations of existing techniques in securing 5G‐IoT networks.Development of a more robust system for secure data transmission in 5G‐IoT networks, as demonstrated through MATLAB simulations.