Fitness value based evolution algorithm approach for text steganalysis model

In this paper, we present a new alternative method for text steganalysis based on an evolution algorithm, implemented using the Java Evolution Algorithms Package (JEAP).The main objective of this paper is to detect the existence of hidden messages ased on fitness values of a text description.It is f...

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Main Authors: Din, Roshidi, Samsudin, Azman, Tuan Muda, Tuan Zalizam, Lertkrai, P., Amphawan, Angela, Omar, Mohd Nizam
Format: Article
Language:English
Published: Seventh Sense Research Group 2013
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/10144/1/R.pdf
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author Din, Roshidi
Samsudin, Azman
Tuan Muda, Tuan Zalizam
Lertkrai, P.
Amphawan, Angela
Omar, Mohd Nizam
author_facet Din, Roshidi
Samsudin, Azman
Tuan Muda, Tuan Zalizam
Lertkrai, P.
Amphawan, Angela
Omar, Mohd Nizam
author_sort Din, Roshidi
collection UUM
description In this paper, we present a new alternative method for text steganalysis based on an evolution algorithm, implemented using the Java Evolution Algorithms Package (JEAP).The main objective of this paper is to detect the existence of hidden messages ased on fitness values of a text description.It is found that the detection performance has been influenced by two groups of fitness values which are good fitness value and bad fitness value. This paper provides a valuable insight into the development and enhancement of the text steganalysis domain.
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spelling uum-101442014-04-02T08:47:09Z https://repo.uum.edu.my/id/eprint/10144/ Fitness value based evolution algorithm approach for text steganalysis model Din, Roshidi Samsudin, Azman Tuan Muda, Tuan Zalizam Lertkrai, P. Amphawan, Angela Omar, Mohd Nizam QA76 Computer software In this paper, we present a new alternative method for text steganalysis based on an evolution algorithm, implemented using the Java Evolution Algorithms Package (JEAP).The main objective of this paper is to detect the existence of hidden messages ased on fitness values of a text description.It is found that the detection performance has been influenced by two groups of fitness values which are good fitness value and bad fitness value. This paper provides a valuable insight into the development and enhancement of the text steganalysis domain. Seventh Sense Research Group 2013-05 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/10144/1/R.pdf Din, Roshidi and Samsudin, Azman and Tuan Muda, Tuan Zalizam and Lertkrai, P. and Amphawan, Angela and Omar, Mohd Nizam (2013) Fitness value based evolution algorithm approach for text steganalysis model. International Journal of Mathematical Models and Methods in Applied Sciences, 7 (5). pp. 551-558. ISSN 2231-2803
spellingShingle QA76 Computer software
Din, Roshidi
Samsudin, Azman
Tuan Muda, Tuan Zalizam
Lertkrai, P.
Amphawan, Angela
Omar, Mohd Nizam
Fitness value based evolution algorithm approach for text steganalysis model
title Fitness value based evolution algorithm approach for text steganalysis model
title_full Fitness value based evolution algorithm approach for text steganalysis model
title_fullStr Fitness value based evolution algorithm approach for text steganalysis model
title_full_unstemmed Fitness value based evolution algorithm approach for text steganalysis model
title_short Fitness value based evolution algorithm approach for text steganalysis model
title_sort fitness value based evolution algorithm approach for text steganalysis model
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/10144/1/R.pdf
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AT samsudinazman fitnessvaluebasedevolutionalgorithmapproachfortextsteganalysismodel
AT tuanmudatuanzalizam fitnessvaluebasedevolutionalgorithmapproachfortextsteganalysismodel
AT lertkraip fitnessvaluebasedevolutionalgorithmapproachfortextsteganalysismodel
AT amphawanangela fitnessvaluebasedevolutionalgorithmapproachfortextsteganalysismodel
AT omarmohdnizam fitnessvaluebasedevolutionalgorithmapproachfortextsteganalysismodel