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Open AccessProceedings Article

Computational intelligence in steganalysis environment

TLDR
A consolidated view of digital media steganalysis from the perspective of computational intelligence (CI) is presented.
Abstract
This paper presents gives a consolidated view of digital media steganalysis from the perspective of computational intelligence (CI). The environment of digital media steganalysis can be divided into three (3) domains which are image steganalysis, audio steganalysis, and video steganalysis. Three (3) major methods have also been identified in the computational intelligence based on these steganalysis domains which are bayesian, neural network, and genetic algorithm. Each of these methods has pros and cons. Therefore, it depends on the steganalyst to use and choose a suitable method based on their purposes and its environment.

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Citations
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Journal ArticleDOI

A formulation of conditional states on steganalysis approach

TL;DR: There is a boundary of solution between the steganalytic system and analyzed message and the main objective of this paper is to find the best approach to fit in using mathematical formulation for steganalysis system based on these conditional states.
Journal Article

Intelligent steganalytic system: application on natural language environment

TL;DR: It can be learned that the more suitable intelligent systems to be applied in steganalysis domain properties are: neural network, genetic algorithm and fuzzy logic.
Journal ArticleDOI

Steganalysis Algorithm for PNG Images Based on Fuzzy Logic Technique

TL;DR: This research focuses on algorithm design for better efficiency of hidden message detection from PNG files by employing three classic AI approaches including neural network, fuzzy logic, and genetic algorithm and evaluating their efficiency and performance in controlled experiments.
Dissertation

Edge based stegaanographic techniques for covert communication through overt channels

TL;DR: Thesis titled “Edge Based Steganographic Techniques for Covert Communication Through Overt Channels” submitted in partial fulfillment of the requirements for the award of the degree of Doctor of Philosophy in Computer Engineering by Aisha Cyra Furtado Fernandes.
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