Digital image steganography: A literature survey
Steganography is the art of concealing information in a cover media in such a way that the
presence of the information is unknown. Digital image steganography accomplishes the …
presence of the information is unknown. Digital image steganography accomplishes the …
The infinite race between steganography and steganalysis in images
Steganography is the primary method by which individuals can communicate covertly;
cryptography, on the other hand, fails at this, as it is possible to detect (the presence of) …
cryptography, on the other hand, fails at this, as it is possible to detect (the presence of) …
Steganography and Steganalysis (in digital forensics): a Cybersecurity guide
Steganography and steganalysis is a relatively new-fangled scientific discipline in security
systems and digital forensics, respectively, but one that has matured greatly over the past …
systems and digital forensics, respectively, but one that has matured greatly over the past …
Digital image steganography and steganalysis: A journey of the past three decades
Steganography is the science and art of covert communication. Conversely, steganalysis is
the study of uncovering the steganographic process. The evolution of steganography has …
the study of uncovering the steganographic process. The evolution of steganography has …
Image steganalysis using deep learning: a systematic review and open research challenges
Image steganography involves the process of concealing sensitive information in the cover
image to achieve secret communication. The counterpart of steganography is image …
image to achieve secret communication. The counterpart of steganography is image …
Advancements and challenges in coverless image steganography: A survey
X Xiang, Y Tan, J Qin, Y Tan - Signal Processing, 2024 - Elsevier
Coverless image steganography has emerged as a significant research direction in the field
of steganography in recent years. Unlike traditional image steganography, it does not …
of steganography in recent years. Unlike traditional image steganography, it does not …
Image steganalysis with multi-scale residual network
H Chen, Q Han, Q Li, X Tong - Multimedia Tools and Applications, 2023 - Springer
In recent years, many deep neural network models are used in steganalysis. However, the
deep neural network models on steganalysis usually use the single scale channel for …
deep neural network models on steganalysis usually use the single scale channel for …
MixNet: A robust mixture of convolutional neural networks as feature extractors to detect stego images created by content-adaptive steganography
E Amrutha, S Arivazhagan… - Neural Processing …, 2022 - Springer
Digital steganography, the modern version of the ancient art of data hiding is a prevalent tool
for covert communication. Steganalysis, at least as old as steganography comes handy to …
for covert communication. Steganalysis, at least as old as steganography comes handy to …
Hybrid convolutional neural network architecture driven by residual features for steganalysis of spatial steganographic algorithms
S Arivazhagan, E Amrutha… - Neural Computing and …, 2021 - Springer
The goal of steganalysis is to unearth a concealed message hidden inside an innocent
carrier by steganography. Steganography in the hands of unlawful people can pose a great …
carrier by steganography. Steganography in the hands of unlawful people can pose a great …
CNN based “Text in Image” Steganography using Slice Encryption Algorithm and LWT
LN Srinivasu, V Veeramani - Optik, 2022 - Elsevier
This paper proposes CNN based “text in image” steganography using slice encryption
algorithm and LWT technique. Generally, cryptography and steganography techniques are …
algorithm and LWT technique. Generally, cryptography and steganography techniques are …