Cost Reassignment for Improving Security of Adaptive Steganography Using an Artificial Immune System-Reference-Cited by-同舟云学术

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Cost Reassignment for Improving Security of Adaptive Steganography Using an Artificial Immune System

Published:2022 Issue: Volume:29 Page:1564-1568
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Chen Yijing¹^ORCID,Wang Hongxia¹^ORCID,Li Wanjie¹,Luo Jie¹

Affiliation:

1. School of Cyber Science and Engineering, Sichuan University, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Open Foundation of Henan Key Laboratory of Cyberspace Situation Awareness

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/9686799/09814852.pdf?arnumber=9814852

Reference26 articles.

1. Content-adaptive pentary steganography using the multivariate generalized Gaussian cover model

2. Content-Adaptive Steganography by Minimizing Statistical Detectability

3. Image Steganography With Symmetric Embedding Using Gaussian Markov Random Field Model

4. Image Steganography Using an Eight-Element Neighborhood Gaussian Markov Random Field Model

5. An Embedding Cost Learning Framework Using GAN

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1. Adaptive multi-cascaded ResNet-based efficient multimedia steganography framework using hybrid mouth brooding fish-emperor penguin optimization mechanism;Journal of Computer Security;2024-07-25

2. Natias: Neuron Attribution-Based Transferable Image Adversarial Steganography;IEEE Transactions on Information Forensics and Security;2024

3. A Steganography Immunoprocessing Framework Against CNN-Based and Handcrafted Steganalysis;IEEE Transactions on Information Forensics and Security;2024

4. A Low-Distortion Reversible Steganography Method that Conceals Data in Images with Minimal Distortion;Lecture Notes in Networks and Systems;2024

5. Content-adaptive Adversarial Embedding for Image Steganography Using Deep Reinforcement Learning;2023 IEEE International Conference on Multimedia and Expo (ICME);2023-07

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