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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics
Hanizan Shaker Hussain
Kolej Poly-Tech MARA
Computer Science & IT Electrical & Electronics Engineering

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Performance Analysis on Text Steganalysis Method Using A Computational Intelligence Approach Roshidi Din; Shafiz Affendi Mohd Yusof; Angela Amphawan; Hanizan Shaker Hussain; Hanafizah Yaacob; Nazuha Jamaludin; Azman Samsudin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.894 KB) | DOI: 10.11591/eecsi.v2.772

Abstract

In this paper, a critical view of the utilization ofcomputational intelligence approach from the text steganalysisperspective is presented. This paper proposes a formalization ofgenetic algorithm method in order to detect hidden message on ananalyzed text. Five metric parameters such as running time, fitnessvalue, average mean probability, variance probability, and standarddeviation probability were used to measure the detection performancebetween statistical methods and genetic algorithm methods.Experiments conducted using both methods showed that geneticalgorithm method performs much better than statistical method,especially in detecting short analyzed texts. Thus, the findings showedthat the genetic algorithm method on analyzed stego text is verypromising. For future work, several significant factors such as datasetenvironment, searching process and types of fitness values throughother intelligent methods of computational intelligence should beinvestigated.
Co-Authors Angela Amphawan Azman Samsudin Hanafizah Yaacob Nazuha Jamaludin Roshidi Din Shafiz Affendi Mohd Yusof