  In today's digital age, the internet is essential for communication and the
sharing of information, creating a critical need for sophisticated data
security measures to prevent unauthorized access and exploitation. Cryptography
encrypts messages into a cipher text that is incomprehensible to unauthorized
readers, thus safeguarding data during its transmission. Steganography, on the
other hand, originates from the Greek term for "covered writing" and involves
the art of hiding data within another medium, thereby facilitating covert
communication by making the message invisible. This proposed approach takes
advantage of the latest advancements in Artificial Intelligence (AI) and Deep
Learning (DL), especially through the application of Generative Adversarial
Networks (GANs), to improve upon traditional steganographic methods. By
embedding encrypted data within another medium, our method ensures that the
communication remains hidden from prying eyes. The application of GANs enables
a smart, secure system that utilizes the inherent sensitivity of neural
networks to slight alterations in data, enhancing the protection against
detection. By merging the encryption techniques of cryptography with the hiding
capabilities of steganography, and augmenting these with the strengths of AI,
we introduce a comprehensive security system designed to maintain both the
privacy and integrity of information. This system is crafted not just to
prevent unauthorized access or modification of data, but also to keep the
existence of the data hidden. This fusion of technologies tackles the core
challenges of data security in the current era of open digital communication,
presenting an advanced solution with the potential to transform the landscape
of information security.
