Effective Analysis of Real World Stego Images through Deep Learning Techniques
Author:
Affiliation:
1. Shrimathi Devkunvar Nanalal Bhatt Vaishnav College For Women,Department of Computer Science,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574858/10574894/10575850.pdf?arnumber=10575850
Reference23 articles.
1. Handbook of approximation algorithms and metaheuristics;Gonzalez;Handb. Approx. Algorithms Metaheuristics,2007
2. Attacks on steganographic systems breaking the steganographic utilities ezstego, jsteg, steganos, and s-tools-and some lessons learned;Westfeld;Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics),2000
3. The ALASKA Steganalysis Challenge
4. Structural Design of Convolutional Neural Networks for Steganalysis
5. Yedroudj-Net: An Efficient CNN for Spatial Steganalysis
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