Secure data transmission is essential for securing sensitive data generated in huge volumes in today’s growing digital era. In today’s growing digital world, secure data transfer is essential for securing private information generated in enormous volumes. Data security strategies, called Cyber Security Systems (CSS), are susceptible to errors and other risks that might damage the data’s integrity. While standard Error-Correcting Codes (ECCs) function well for more standard communication errors, they cannot meet the complex rules of cryptographic functions. In order to boost the CSS size, this article provides a detailed approach that develops ECCs from network graph parameters. The error flexibility, computational speed, and use of bandwidth power of the CSS have been designed to be addressed by the graph-based ECCs. The investigation proposes an approach that analyses network graphs and employs information to develop ECCs, which are then integrated into the existing CSS. Compared with standard models, the one recommended performed more successfully when assessed under a range of error scenarios and cryptanalytic attacks.