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Dept Comp Sci & Comp Eng
Contact Details
La Trobe University
Victoria 3086
AUSTRALIA
Tel: +61 3 9479 1107
Fax: +61 3 9479 3060
Email: info
@cs.latrobe.edu.au
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Research - Current Postgraduates - Details
Department of Computer Science & Computer Engineering
| Juneja, Narendra |
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Course:
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PhD |
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Research Title/Topic:
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Image Steganalysis |
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Supervisor:
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Dr. Andrew Skabar & Dr. Torab Torabi |
Description:
Steganography is the art and science of embedding imperceptibly a secret message inside cover media such as an image, audio or video file. A wide range of steganography softwares that use different techniques to hide messages in images are freely-available over the internet. On the contrary, Steganalysis is the development of techniques which aim to detect such hidden messages. We focus particularly on detecting messages embedded in images.
Over the years, many image steganalysis techniques have been proposed. Each of these techniques has its own feature set and classifier which is used to discriminate between stego (message-embedded images) and non-stego images. However, very few researchers have attempted to unify different feature sets and tried to build a universal detection technique. One of the principal challenges of building such a universal steganalyzer is to identify similarities between different features so as to avoid redundancy of features. Another challenge is to evaluate the winning feature amongst the available features for a particular embedding technique. A universal steganalyzer must also be able to detect hidden message in an image embedded via an unknown or unseen or new steganographic algorithm. Thus, my research focuses on overcoming the above challenges and building a universal steganalyzer that can detect hidden messages in images from any known or unknown steganography technique. The broader areas under which my research falls are information theory, signal processing and statistics.
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