Results 61 to 70 of about 3,326 (205)

A Low Cost Image Steganalysis by Using Domain Adaptation

International Journal of Information Science and Management, 2018
Information hiding and data encryption are used widely to protect data and information from anonymous access. In digital world, hiding and encrypting of the desired data into an image is a smart way to protect information with a low cost.
Mohammd Bagher Dastgheib, Mahsa Farboudnia Jahromi, Jafar Tahmoures Nejad   +2 more
doaj  

Continual Learning for Steganalysis

, 2022
To detect the existing steganographic algorithms, recent steganalysis methods usually train a Convolutional Neural Network (CNN) model on the dataset consisting of corresponding paired cover/stego-images. However, it is inefficient and impractical for those steganalysis tools to completely retrain the CNN model to make it effective against both the ...
Yin, Zihao, Meng, Ruohan, Zhou, Zhili
openaire   +2 more sources

SIHNet: A safe image hiding method with less information leaking

IET Image Processing, Volume 18, Issue 10, Page 2800-2815, 21 August 2024.
We propose a reversible secret image processing (SIP) module to make the secret images suitable for hiding and make the stego images leak less secret information. Besides, we use a reversible lost information hiding (LIH) module to hide the lost information into the cover images, thus our method can recover the secret images better than other methods ...
Zien Cheng, Xin Jin, Qian Jiang, Liwen Wu, Yunyun Dong, Wei Zhou   +5 more
wiley   +1 more source

Dual‐Stream Fusion and Multi‐scale Analysis: Introducing the Synergistic Dual‐Stream Network (SDS‐Net) for Image Manipulation Segmentation

Advanced Intelligent Systems, Volume 6, Issue 4, April 2024.
Introducing synergistic dual‐stream network (SDS‐Net), a groundbreaking deep learning framework for image manipulation detection. This innovative system employs a dual‐stream fusion strategy, enhancing feature extraction capabilities and ensures precise localization of tampered regions.
HuaQing Song, BaiChuan Lin, LanChi Xie
wiley   +1 more source

Motion vector‐domain video steganalysis exploiting skipped macroblocks

IET Image Processing, Volume 18, Issue 5, Page 1132-1144, 17 April 2024.
This paper proposes a novel 11‐dimensional feature set to detect MV‐based video steganography. The feature set includes two components. The first is the probability distribution of motion vector prediction (MVP) difference, and the second is the probability distribution of partition state transfer.
Jun Li, Minqing Zhang, Ke Niu, Yingnan Zhang, Xiaoyuan Yang   +4 more
wiley   +1 more source

Face Forgery Detection with Long‐Range Noise Features and Multilevel Frequency‐Aware Clues

IET Biometrics, Volume 2024, Issue 1, 2024.
The widespread dissemination of high‐fidelity fake faces created by face forgery techniques has caused serious trust concerns and ethical issues in modern society. Consequently, face forgery detection has emerged as a prominent topic of research to prevent technology abuse.
Yi Zhao, Xin Jin, Song Gao, Liwen Wu, Shaowen Yao, Qian Jiang, Vincenzo Conti   +6 more
wiley   +1 more source

Reliable steganalysis of color images based on color gradient sequence

Tongxin xuebao, 2011
Based on the difference between the vibrations of color gradient orientation sequences and color gradient sum sequences of stego images and those of images without hiding message,a novel reliable steganalysis of color images was presented which major in ...
QI Ke1, ZHANG Da-fang1, XIE Dong-qing2
doaj   +2 more sources

Digital image steganography and steganalysis: A journey of the past three decades

Open Computer Science, 2020
Steganography is the science and art of covert communication. Conversely, steganalysis is the study of uncovering the steganographic process. The evolution of steganography has been paralleled by the development of steganalysis.
Sahu Aditya Kumar, Sahu Monalisa
doaj   +1 more source

A new JPEG image steganalysis technique combining rich model features and convolutional neural networks

Mathematical Biosciences and Engineering, 2019
The best traditional steganalysis methods aiming at adaptive steganography are the combination of rich models and ensemble classifier. In this study, a new steganalysis method for JPEG images based on convolutional neural networks is proposed to solve ...
Tao Zhang, Hao Zhang, Ran Wang, Yunda Wu   +3 more
doaj   +1 more source

Comprehensive survey on image steganalysis using deep learning

Array
Steganalysis, a field devoted to detecting concealed information in various forms of digital media, including text, images, audio, and video files, has evolved significantly over time.
Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Fengling Han   +2 more
doaj