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

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

Increasing prevalence and simplicity of using Artificial Intelligence (AI) techniques, Steganography is shifting from conventional model building to AI model building. AI enables computers to learn from their mistakes, adapt to emerging inputs, and carry out human-like activities. Traditional Lingui...

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Bibliographic Details
Main Authors: R. Gurunath, Ahmed H. Alahmadi, Debabrata Samanta, Mohammad Zubair Khan, Abdulrahman Alahmadi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
steganography
linguistic steganography
statistical language model
natural language processing
NLP
Online Access:https://ieeexplore.ieee.org/document/9523860/

Internet

https://ieeexplore.ieee.org/document/9523860/

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