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 …
Novel color image steganalysis method based on RGB channel empirical modes to expose stego images with diverse payloads
With the rapid development of technology in the modern digital world, covert communication
of secret information as a payload without instigating visible attention by using …
of secret information as a payload without instigating visible attention by using …
[PDF][PDF] Improving quality of Stego images through dithering techniques for pixel pair matching Steganographic schemes
S Arivazhagan, WSL Jebarani, SA Roy… - Int J Eng Adv …, 2019 - academia.edu
Steganography plays a vital role in sending any covert data via public media without hiding
the covert channel. Due to visually imperceptible embedding process of secret, it is able to …
the covert channel. Due to visually imperceptible embedding process of secret, it is able to …