<p>In the current digital era, safeguarding image data authenticity is crucial due to increasing security risks. This study introduces a robust image encryption model that leverages a hybrid approach to ensure enhanced data security and integrity. The model includes chaos mapping, SHA-224 hashing, Shift AES, and XOR-based encryption for secure image encryption. First, the features of the colored image are combined with a user-defined password, converting the merged data into binary format and applying the Henon map to inject non-linearity and randomness. A SHA-224 hash value is subsequently generated to bolster data integrity and verify the authenticity of the encrypted image. Next, the scrambled data is encrypted by the Shift AES function, an improved kind of standard AES algorithm that improves the performance of computation while preserving good safety. After getting the ciphered image, we use the reverse process to decrypt, from which we get the original image. This hybrid approach provides strong protection against cryptanalysis attacks, including statistical and differential attacks. This process achieves an information entropy of 7.9971, a correlation coefficient close to 0, a peak signal to noise ratio of 6.7210dB, a number of pixels change rate of 99.75%. Performance metrics confirm the efficiency of the proposed method and ensure the integrity of image data transmission.</p>