STEGANALYSIS ALGORITHM FOR PNG IMAGES BASED ON FUZZY LOGIC TECHNIQUE
Jawaher alqahtani, Daniyal Alghazzawi1 and Li Cheng2
1Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia
2Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, China
ABSTRACT
Embedding a message in media files, also known as steganography, is a common approach to hide secret information. It has been exploited by some criminals to confidentially exchange messages. As a countermeasure, tools have been developed in order to detect hidden information form digital media such as text, image, audio or video files. However the efficiency and performance of previous approaches still have room for improvement. In this research, we focus on algorithm design for better efficiency of hidden message detection from PNG files. We employ three classic AI approaches including neural network, fuzzy logic, and genetic algorithm and evaluate their efficiency and performance in controlled experiments. Finally we introduce our message detection system for PNG files based on LSB approach and present its
usability in different case scenarios.
KEYWORDS
Steganography, Steganalysis, Artificial Intelligence, fuzzy logic.
ORIGINAL SOURCE URL : http://aircconline.com/ijnsa/V8N6/8616ijnsa01.pdf
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