Coverless image steganography using morphed face recognition based on convolutional neural network

Author:

Li Yung-Hui,Chang Ching-Chun,Su Guo-Dong,Yang Kai-Lin,Aslam Muhammad Saqlain,Liu Yanjun

Abstract

AbstractIn recent years, information security has become a prime issue of worldwide concern. To improve the validity and proficiency of the image data hiding approach, a piece of state-of-the-art secret information hiding transmission scheme based on morphed face recognition is proposed. In our proposed data hiding approach, a group of morphed face images is produced from an arranged small-scale face image dataset. Then, a morphed face image which is encoded with a secret message is sent to the receiver. The receiver uses powerful and robust deep learning models to recover the secret message by recognizing the parents of the morphed face images. Furthermore, we design two novel Convolutional Neural Network (CNN) architectures (e.g. MFR-Net V1 and MFR-Net V2) to perform morphed face recognition and achieved the highest accuracy compared with existing networks. Additionally, the experimental results show that the proposed schema has higher retrieval capacity and accuracy and it provides better robustness.

Funder

Ministry of Science and Technology of Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Cited by 6 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. Autoencoder-Based Image Steganography With Least Significant Bit Replacement;2024 16th International Conference on Electronics, Computers and Artificial Intelligence (ECAI);2024-06-27

2. A Coverless Information Hiding Approach using the Most Significant Bit;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

3. Image steganalysis algorithm based on deep learning and attention mechanism for computer communication;Journal of Electronic Imaging;2024-01-13

4. Dynamic Healing Process Analysis: Image Morphing with Warping Technique for Nose and Esophagus Studies;The International Arab Journal of Information Technology;2024

5. Coverless Steganography: A Comprehensive Study on Concealing Data Without a Cover Medium;Lecture Notes in Networks and Systems;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3