Text Steganography Analysis with Embedding Techniques for Hidden Data Retrieval via Extraction Methods-Reference-Cited by-同舟云学术

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Text Steganography Analysis with Embedding Techniques for Hidden Data Retrieval via Extraction Methods

Published:2023-12-04 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)
language:
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Author:

B Karunakara Rai¹,Al-Attabi Kassem²,Yousif Arabi Mohammed³,Archana Reddy R⁴,Hussein A. H. A.⁵

Affiliation:

1. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

2. The Islamic University,Najaf,Iraq

3. National University of Science and Technology,Dhi Qar,Iraq

4. School of Computer Science and Artificial Intelligence SR University,Warangal,Telangana,India

5. College of Pharmacy, Ahl Al Bayt University,Karbala,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10435701/10435648/10435660.pdf?arnumber=10435660

Reference15 articles.

1. Arabic Text Steganography Based on Deep Learning Methods

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

3. Image steganography using deep learning based edge detection

4. A creative approach to understanding the hidden information within the business data using Deep Learning

5. A Lightweight Hybrid Scheme for Hiding Text Messages in Colour Images Using LSB, Lah Transform and Chaotic Techniques

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