Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
security. Steganography seeks to conceal communications, whereas steganalysis aims to …
Deep learning for diverse data types steganalysis: A review
Steganography and steganalysis are two interrelated aspects of the field of information
security. Steganography seeks to conceal communications, whereas steganalysis is aimed …
security. Steganography seeks to conceal communications, whereas steganalysis is aimed …
Steganogram removal using multidirectional diffusion in fourier domain while preserving perceptual image quality
This paper proposes a novel and efficient method for destructing any secret information
hidden (steganograms) inside an image by any steganographic technique while preserving …
hidden (steganograms) inside an image by any steganographic technique while preserving …
Erase and repair: An efficient box-free removal attack on high-capacity deep hiding
Deep hiding, embedding images with others using deep neural networks, has demonstrated
impressive efficacy in increasing the message capacity and robustness of secret sharing. In …
impressive efficacy in increasing the message capacity and robustness of secret sharing. In …
Stegano-Purge: An integer wavelet transformation based adaptive universal image sterilizer for steganography removal
S Ganguly, I Mukherjee, A Pati - Journal of Information Security and …, 2023 - Elsevier
Sterilization is the method of annihilating steganographic data hidden in a cover media. This
paper proposes a visual quality preserving image sterilization method that effectively …
paper proposes a visual quality preserving image sterilization method that effectively …
Monsters in the Dark: Sanitizing Hidden Threats with Diffusion Models
PK Robinette, D Moyer, TT Johnson - arXiv preprint arXiv:2310.06951, 2023 - arxiv.org
Steganography is the art of hiding information in plain sight. This form of covert
communication can be used by bad actors to propagate malware, exfiltrate victim data, and …
communication can be used by bad actors to propagate malware, exfiltrate victim data, and …
Image sterilization through adaptive noise blending in integer wavelet transformation
S Ganguly, I Mukherjee - 2022 IEEE 19th India Council …, 2022 - ieeexplore.ieee.org
Detecting steganography can be more resource-consuming than corrupting the stego-data
concealed inside a cover media. Based on this fact, the current work proposes an Integer …
concealed inside a cover media. Based on this fact, the current work proposes an Integer …
Removing Hidden Information by Geometrical Perturbation in Frequency Domain
The risk of malicious exploitation of advanced image steganography necessitates the
removal of hidden information from images. However, it is crucial to preserve the visual …
removal of hidden information from images. However, it is crucial to preserve the visual …
IMIH: Imperceptible Medical Image Hiding for Secure Healthcare
P Ping, P Wei, D Fu, B Guo, OT Bloh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Medical images play a crucial role in doctors' clinical diagnosis and treatment. However, the
transmission and sharing of such private information raises security concerns. To address …
transmission and sharing of such private information raises security concerns. To address …
Adversarial Attack for Deep Steganography Based on Surrogate Training and Knowledge Diffusion
Deep steganography (DS), using neural networks to hide one image in another, has
performed well in terms of invisibility, embedding capacity, etc. Current steganalysis …
performed well in terms of invisibility, embedding capacity, etc. Current steganalysis …