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Title: A performance of text steganalytic system using genetic-based method
Authors: Roshidi Din, Faudziah Ahmad, H. S. Hussain, Shima Sabri, Nik Zulkarnaen Khidzir, Muzaaliff Musa
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 10
Language: English
In this paper, a consolidated view of genetic algorithm approach from the perspective of steganalysis system on text based environment is presented. Thus, this paper is tries to measures the detection performance based on genetic algorithm method and statistical method in order to classify the analyzed text as stego text. Three aspects such as time taken, average of cost function and average of mean and standard deviation have been used to measure the performance methods between statistical and proposed GA based. Experiments have shown that proposed of genetic algorithm method gets better performance than statistical method, especially in detecting a short analyzed text. Thus, a finding shows that the proposed genetic algorithm method on analyzed text is promising. For further work, it is suggested that the accuracy rates of detection process on larger sizes of analyzed text through other intelligent methods should be investigated.
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