Multi-Agent System for an Image Steganalysis
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 SystemCopyright (c) 2018 INFORMATION AND COMPUTER SECURITY
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