The development of personal computing and Internet access has ex- panded remote work opportunities yet simultaneously raised the danger of data breaches. The protection of confidentiality through traditional encryption methods reveals the presence of sensitive data which makes it an attractive target for attackers. The Least Significant Bit (LSB) technique in Steganography provides an alternative method to hide data by embedding it inside digital media. The traditional LSB methods demonstrate three major drawbacks which include pre- dictability alongside limited robustness and restricted data capacity.This Thesis introduces an advanced LSB steganography approach which utilizes the Lorenz chaotic system to overcome existing method restrictions. The method enhances security through the use of chaotic maps which generate pseudo-random sequences that are highly sen- sitive to initial conditions and resist attacks from compression and noise addition. The method selects pixel positions and color chan- nels through chaotic sequences to enhance security and data hiding capacity without degrading image quality.The experimental results demonstrate a Peak Signal-to-Noise Ratio (PSNR) exceeding 50 dB together with a Structural Similarity Index (SSIM) above 0.997 and a zero Bit Error Rate (BER) which proves both successful data recovery and high visual fidelity. The lightweight secure steganographic method demonstrates potential uses in secure communication systems as well as medical imaging and digital rightsprotection applications.