research centers


Search results: Found 2

Listing 1 - 2 of 2
Sort by

Article
Review on Image Steganalysis Using INRIA Dataset

Authors: Hanaa Mohsin Ahmed --- Halah H. Mahmoud
Journal: Al-Nahrain Journal of Science مجلة النهرين للعلوم ISSN: (print)26635453,(online)26635461 Year: 2018 Volume: 21 Issue: 4 Pages: 94-108
Publisher: Al-Nahrain University جامعة النهرين

Loading...
Loading...
Abstract

Steganography can be defined as the science of private communication while steganalysis is the science of detection of embedded messages in digital media with the use of steganography (Each of steganography and steganalysis are under much interest from media and law enforcement entities). Blind steganalysis had the attempt of differentiating steganographic images from cover images without knowing the method of steganography.Popular data-sets are common in various areas like image processing, artificial intelligent, and security which allow the researchers to validate their approaches. INRIA dataset is one type of image dataset which include Holiday, Copydays and BIGANN evaluation datasets. This paper presents study on number of researches using INRIA dataset for image/ information retrieval and especially blind image steganalysis. All these works depends on statistical properties of image. No one use machine learning tools like deep learning especially convolution neural network to detect attack in image using INRIA dataset.


Article
Convolution Neural Networks for Blind Image Steganalysis: A Comprehensive Study

Authors: Hanaa Mohsin Ahmed --- Halah Hasan Mahmoud
Journal: Journal of Al-Qadisiyah for Computer Science and Mathematics مجلة القادسية لعلوم الحاسوب والرياضيات ISSN: 20740204 / 25213504 Year: 2019 Volume: 11 Issue: 2 Pages: Comp Page 53-64
Publisher: Al-Qadisiyah University جامعة القادسية

Loading...
Loading...
Abstract

Recently, Convolution Neural Network is widely applied in Image Classification, Object Detection, Scene labeling, Speech, Natural Language Processing and other fields. In this comprehensive study a variety of scenarios and efforts are surveyed since 2014 at yet, in order to provide a guide to further improve future researchers what CNN-based blind image steganalysis are presented its architecture, performance and limitations. Long-standing and important problem in image steganalysis difficulties mainly lie in how to give high accuracy and low payload in stego or cover images for improving performance of the network.

Listing 1 - 2 of 2
Sort by
Narrow your search

Resource type

article (2)


Language

English (2)


Year
From To Submit

2019 (1)

2018 (1)