A convolutional neural network-based linguistic steganalysis for synonym substitution steganography

DOI10.3934/mbe.2020055zbMath1470.94025OpenAlexW2986040515WikidataQ90792372 ScholiaQ90792372MaRDI QIDQ2045760

Victor S. Sheng, Peng Yang, Guoqing Guo, Jingming Yu, Lingyun Xiang

Publication date: 13 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2020055

zbMATH Keywords

steganographysteganalysisconvolutional neural networkword embeddingsynonym substitution

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Cryptography (94A60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (5)

CCII and FPGA realization: a multistable modified fourth-order autonomous Chua's chaotic system with coexisting multiple attractors ⋮ Dynamic analysis, circuit design, and synchronization of a novel 6D memristive four-wing hyperchaotic system with multiple coexisting attractors ⋮ A New 4D Four-Wing Memristive Hyperchaotic System: Dynamical Analysis, Electronic Circuit Design, Shape Synchronization and Secure Communication ⋮ Secure communication scheme based on a new 5D multistable four-wing memristive hyperchaotic system with disturbance inputs ⋮ Impulsive multidirectional associative memory neural networks: New results

Uses Software

• word2vec
• ImageNet
• AlexNet

Cites Work

• Locating secret messages based on quantitative steganalysis
• 10.1162/153244303322533223
• Unnamed Item

This page was built for publication: A convolutional neural network-based linguistic steganalysis for synonym substitution steganography