Review the Challenges Associated with Steganography Using Artificial Intelligence Techniques
Mohammad Rasmi Al-Mousa, Sultan Mohammed Albilasi, Malak Hamad Al-mashagbeh, Mahmoud Rajallah Asassfeh, Mahmoud Odeh, Khaled E. Al-Qawasmi, Ghassan Samara, Dena Abu Laila · 2025
The importance of data masking techniques has increased due to the rapid expansion of covert communications and the mass sharing of multimedia content. Steganography is a technique that allows for the safe and covert sharing of data. It's the science of incorporating data that is hard to see with the unaided eye. File types that support Steganography include audio, video, and image formats. Artificial Intelligence (AI) can enhance Steganography while also complicating the discovery of hidden data and augmenting steganalysis. By looking into these issues, this study intends to compare the various uses and techniques of AI and investigate the difficulties involved in incorporating AI technologies into Steganography. The study used the comparative research approach, comparing the literature with works that addressed Traditional Steganography in general. According to this Paper, countries need to educate themselves on classical Steganography as soon as possible to enhance information security and protection in the future.