A Secure Cyclic Steganographic Technique for Color Images using Randomization
Khan Muhammad, Jamil Ahmad, Naeem Ur Rehman, Zahoor Jan, Rashid Jalal, Qureshi

TL;DR
This paper introduces a new cyclic steganographic method for color images that enhances security and imperceptibility by randomizing data embedding in the LSBs of RGB images, evaluated through various analysis metrics.
Contribution
The paper presents a novel cyclic steganographic technique that improves security and robustness in hiding data within color images using a randomized LSB approach.
Findings
The method achieves high PSNR indicating good image quality.
It demonstrates improved security and robustness over existing techniques.
Subjective and objective analyses confirm the effectiveness of the approach.
Abstract
Information Security is a major concern in today's modern era. Almost all the communicating bodies want the security, confidentiality and integrity of their personal data. But this security goal cannot be achieved easily when we are using an open network like Internet. Steganography provides one of the best solutions to this problem. This paper represents a new Cyclic Steganographic T echnique (CST) based on Least Significant Bit (LSB) for true color (RGB) images. The proposed method hides the secret data in the LSBs of cover image pixels in a randomized cyclic manner. The proposed technique is evaluated using both subjective and objective analysis using histograms changeability, Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE). Experimentally it is found that the proposed method gives promising results in terms of security, imperceptibility and robustness as compared to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Chaos-based Image/Signal Encryption · Digital Media Forensic Detection
