Overview:

The privacy of secret information has gotten a lot of attention in the last few decades due to the newly developed hacking techniques and malware attacks. The image steganography played an important role in securely transmitting the secret information to the recipient. Image steganography is a process of integrating secret information into the carrier image by hiding the existence of secret information. Image steganography showed significant advancements in recent years after the rapid growth of Generative adversarial Networks (GAN). The majority of the work has been done by using the natural image as carrier images to hide secret information. The aim of the proposed work is to find the solution of text hiding, where the more secure and robust framework will generate the Stego image with increased payload capacity. The proposed framework will hide the text data by directly generating the anime characters without using a natural image (cover image). The anime characters dataset and news dataset will be used for the generation of Anime. Transfer learning of pre-trained GAN and CNN models will also be applied for the encryption and decryption of text data into anime characters.

An encryption decryption-based text hiding framework to encrypt and decrypt text information with increased security and payload capacity. The framework will encrypt text by generating anime faces using GAN and decrypt anime faces by illustration module to extract text information.

Research Gap

• Increase the payload Capacity of the stego image.

• Maintain the security of the secret information with an increased payload capacity.

• Development of a Robust Anime Generation model for the transmission of Secret Information in the Presence of different attacks with high accuracy.

• It will help businesses, security agencies, and large-scale applications to transfer their secret information without any unauthorized access.

• Reduce the hackers attack by hiding the existence of secret information

• It allows for copyright protection on digital files.

• Secure the communication of sensitive information between the two parties.

• Bring comfort in sharing sensitive and secret information by generating anime characters without cover images.

• Anime Faces dataset Kaggle

• Tagged Anime Illustrations Kaggle

• Safebooru - Anime Image Metadata Kaggle

• Danbooru 2017

• Danbooru 2019 portrait Faces