DualLSBStego: Enhanced Steganographic Model Using Dual-LSB in Spatial Domain Images

In the age of information technology, the secure transmission of sensitive data over public networks is essential.Steganography, a data-hiding technique, is used to transmit information covertly between parties.However, many existing algorithms face a significant challenge: balancing payload size with the quality of the stego image.This article presents a new steganographic framework, DualLSBStego, using Dual-LSB in spatial domain images to address this issue.The DualLSBStego adaptively selects the two least significant pixel bits to hide secret data, enhancing the tradeoff between capacity and image quality.Experimental results on standard datasets in steganography of digital images, SIPI images datasets, show that the DualLSBStego achieves a Peak Signal-to-Noise Ratio (PSNR) of up to 79.64 decibels (dB) with an Airplane cover image at a payload size of 1 kilobit (kb).The DualLSBStego model's performance was compared to recent Difference Expansion (DE) techniques, achieving a Structural Similarity Index Measure (SSIM) of 1, which indicates a high-quality stego image.