Insights Into Deep Steganography: A Study of Steganography Automation and Trends-Reference-Cited by-同舟云学术

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Insights Into Deep Steganography: A Study of Steganography Automation and Trends

Published:2022-03-27 Issue: Volume: Page:129-155
ISSN:
Container-title:Cyber Security and Network Security
language:
Short-container-title:

Author:

Gurunath R.,Samanta Debabrata,Pandey Digvijay

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119812555.ch6

Reference45 articles.

1. IoT-Based Smart Alert System for Drowsy Driver Detection

2. A video steganography using Hamming Technique for image Processing using optimized algorithm

3. A Deep Learning Model for Information Loss Prevention From Multi-Page Digital Documents

4. Abdali N.M.andHussain Z.M. “Reference‐free Detection of LSB Steganography Using Histogram Analysis ”202030th International Telecommunication Networks and Applications Conference (ITNAC) pp.1–7 2020 doi: 10.1109/ITNAC50341.2020.9315037.

5. DAWM: Cost‐Aware Asset Claim Analysis Approach on Big Data Analytic Computation Model for Cloud Data Centre;Mekala M.S.;Secur. Commun. Netw.,2021

Cited by 2 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. Machine-Learning-Based Spam Mail Detector;SN Computer Science;2023-11-08

2. A Real-Time Smart Sewage Cleaning UAV Assistance System Using IoT;Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities;2023-02-17

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