Deep Learning-Based Multi-Class Detection of LSB Steganography in Digital Images

Identifying hidden payloads in images has become increasingly critical as steganography continues to challenge traditional security measures. This paper introduces a deep learning framework for both the detection (binary classification) and fine-grained classification (multi-class) of steganographic...

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Main Authors: Alanoud M. Almhlbdi, Norah D. Altowairqi, Areej O. Alshutayri, Rehab K. Qarout
Format: Artigo
Jezik:Inglês
Izdano: IEEE 2025-01-01
Serija:IEEE Access
Teme:
Steganography
steganalysis
least significant bit
convolutional neural network
deep learning
cybersecurity
Online dostop:https://ieeexplore.ieee.org/document/11226945/
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