At the network edge, confidential data storage requires a highly resilient noise, failure, and adversarial-access protection and low computation overhead. This paper introduces an error-correcting code (ECC) embedding framework that is specifically designed to be used in secure edge storage systems. The given solution combines lightweight coding schemes with dynamic redundancy assignment that provides data integrity and confidentiality with limited resources. To model the embedding and decoding processes, a mathematical model is developed which includes parity generation and efficient syndrome-based recovery. The framework facilitates dynamic error space and helps to reduce the risk of data leakage with the help of organized redundancy patterns. Experimental testing proves to be more reliable, has a shorter decoding time and is more resilient than traditional storage schemes.