The following information was submitted:
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Transactions ID Number: 29-521
Full Name: Roshidi Din
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Pusat Pengajian Komputer Sains, Universiti Sains Malaysia, 11800 Minden, Pulau Pinang
Country: MALAYSIA
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E-mail address: roshidi@uum.edu.my
Other E-mails: azman@cs.usm.my
Title of the Paper: Intelligent Steganalytic System: Application on Natural Language Environment
Authors as they appear in the Paper: Roshidi Din, Azman Samsudin
Email addresses of all the authors: roshidi@uum.edu.my, azman@cs.usm.my
Number of paper pages: 10
Abstract: This paper presents a consolidated view of the computational intelligence used in the natural language steganalysis. In order to understand the human intelligence on natural language, four major computational intelligence methods have been identified. They are bayesian, fuzzy logic, neural network, and genetic algorithm. This paper also presents a measurement tool to measure the natural language intelligent system properties based on steganalysis objectives. 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.
Keywords: Computational Intelligence, Steganalysis, Intelligent Steganalytic System, Natural Language Steganalysis
EXTENSION of the file: .pdf
Special (Invited) Session: Intelligent Steganalytic System on Natural Language Environment
Organizer of the Session: 615-109
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