Journal article
A method for automatic identification of signatures of steganography software
IEEE Transactions on Information Forensics and Security, Vol.5(2), pp.354-358
2010
Abstract
A fully automated, blind, media-type agnostic approach to steganalysis is presented here. Steganography may sometimes be exposed by detecting automatically characterized regularities in output media caused by weak implementations of steganography algorithms. Fast and accurate detection of steganography is demonstrated experimentally here across a range of media types and a variety of steganography approaches.
Details
- Title
- A method for automatic identification of signatures of steganography software
- Authors/Creators
- G. Bell (Author/Creator) - Murdoch UniversityY-K. Lee (Author/Creator) - Ming Chuan University
- Publication Details
- IEEE Transactions on Information Forensics and Security, Vol.5(2), pp.354-358
- Publisher
- IEEE
- Identifiers
- 991005540072607891
- Copyright
- © 2010 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Journal article
- Note
- Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.101 Security, Encryption & Encoding
- 4.101.639 Digital Watermarking
- Web Of Science research areas
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- ESI research areas
- Computer Science