Nowadays, image steganography is playing a vital role in data security which has increased significantly. By covertly encrypting data bits that have a lower chance of being discovered, image steganography protects data. To date, a number of steganography and cryptographic methods have been created to guarantee the security of data while it is being transmitted over a network. The paper proposes different approaches of Image steganography to secure information in military offices. Also, it is to assess how well various steganography algorithms (LSB, PVD, EMD, PPM, and GLM) work. In this comparison, the benefits and drawbacks of the currently used image steganography methods are highlighted. Metrics are utilized to report the performance of these algorithms in an unbiased manner, including Peak-Signal-to-Noise Ratio (PSNR), Mean Squared Error Measurement (MSE), Structural Similarity Index (SSIM), Noise Visibility Function (NVF), histogram analysis, and standard deviation. In experiments we’ve done, we discovered that the LSS and PVD algorithms have the best performance out of all the algorithms that were compared, with the EMD and PPM having good performance but less so. In terms of embedding time, PPM and PVD are the most effective algorithms, whereas EMD and GLM are less effective because they take more time. The best and most effective algorithms for recovering data are PVD and PPM, while LSB, EMD, and GLM consume the most resources in terms of recovery time.