Multi-Agent System for an Image Steganalysis

  • Akram Boukhamla Faculty of New Technologies of Information and Communication, Kasdi Merbah University Ouargla BP.511,30000, Algeria
DOI: https://doi.org/10.18282/ics.v1i1.593
Keywords: Steganalysis, Steganography, Image, Database

Abstract

Steganography is the science of data concealment, but it can be used by malicious people to use it for destructive purposes. For this reason, the presence of methods detecting Steganography becomes a necessity.

The science of detecting Steganography is called steganalysis and evolves with new steganographic techniques.

The purpose of this paper is to present a model for detecting the content of JPEG images that have been steganographed.

Our work involves applying Multi-Agent Systems (MAS) in image steganalysis where we use ADMs to reduce the complexity of solving a problem by dividing the necessary knowledge into subsets, combining an independent intelligent agent to each of these subsets and coordinating the activity of these agents.

We opted for the Java Agent Development Framework (JADE) platform for the development and realization of the inter-operable Multi-Agent System

Author Biography

Akram Boukhamla, Faculty of New Technologies of Information and Communication, Kasdi Merbah University Ouargla BP.511,30000, Algeria
Dr. Akram Boukhamla is an associate professor at the Department of Computer Science, University of Kasdi Merbah Ouargla/Algeria. He worked as reviewer for many academic journals. His current research focuses on cyber security, big security data analysis, Internet Traffic Analysis and the detection of malware and attacks.
Published
2018-09-21
Issue
Vol 1, No 1
Section
Articles

Copyright (c) 2018 INFORMATION AND COMPUTER SECURITY

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors contributing to this journal agree to publish their articles under the  Creative Commons Attribution-Noncommercial 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit, that the work is not used for commercial purposes, and that in the event of reuse or distribution, the terms of this license are made clear. With this license, the authors hold the copyright without restrictions and are allowed to retain publishing rights without restrictions as long as this journal is the original publisher of the articles.