Enhancing Data Security: Implementing Steganography in Web Application

Abstract

In the era of information technology, ensuring the security of information over the Internet is a very important and priority issue. Conventional encryption methods have become traditional and more vulnerable to attacks due to their challenging nature. Steganography is presented as a promising technique to enhance the security of information in web applications. Steganography provides the art of hiding secret data in non-confidential media in a way that the data inside cannot be perceived. In this study, we propose a new approach to integrate steganography with web applications to maintain the security of secure data transmitted over the Internet. Our research involves a method based on hiding data in image pixels by the priority method produced by the SVM classifier based on the features extracted from the image itself. The proposed method has proven its worth through experimental results that preserve the integrity and quality of the image while ensuring the transfer of a good amount of secure data. It has demonstrated the ease of implementing steganography in web applications in an imperceptible manner. This allows the user to upload and retrieve secure messages securely. The study was evaluated through quantitative and qualitative methods that relied on increasing the PSNR (85 dB) ratio and chi-square that works to find the probability of the presence of secure data in the image. This research presents a promising solution for information security against cyber threats.