A Novel Approach for Linguistic Steganography Evaluation Based on Artificial Neural Networks

Author:

Gurunath R.,Alahmadi Ahmed H.ORCID,Samanta DebabrataORCID,Khan Mohammad ZubairORCID,Alahmadi AbdulrahmanORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 22 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Memory Regressor Extended Echo State Networks for Nonlinear Dynamics Modeling;2024 European Control Conference (ECC);2024-06-25

2. Investigating the Effectiveness of Artificial Intelligence in Watermarking and Steganography for Digital Media Security;2024 21st International Multi-Conference on Systems, Signals & Devices (SSD);2024-04-22

3. Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network;CAAI Transactions on Intelligence Technology;2024-03-28

4. LOGICAL AUTOMATIC IMPLEMENTATION OF STEGANOGRAPHIC CODING ALGORITHMS;Journal of Mathematics, Mechanics and Computer Science;2024-03

5. A Review on the Recent Trends of Image Steganography for VANET Applications;Computers, Materials & Continua;2024

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