A Multi-Algorithm, High Reliability Steganalyzer Based on Services Oriented Architecture
Eman Abdelfattah,Ausif Mahmood +1 more
- 01 Jan 2013
- pp 531-542
TL;DR: This chapter presents a reliable Steganalyzer system with distributed services oriented architecture which allows easy incorporation of new algorithms to support different media types in the existing system.
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Abstract: Steganalysis deals with detecting the presence of hidden information in different types of media such as images and audio files. Such detection is very challenging because of the variety of algorithms that might be used in embedding secret information in a media type. This chapter presents a reliable Steganalyzer system with distributed services oriented architecture which allows easy incorporation of new algorithms to support different media types in the existing system. Moreover, the distributed architecture presented in this chapter allows concurrent processing which speeds up the system. High system reliability in distinguishing between the cover object and the stego object is achieved by employing multiple steganalysis algorithms, and further by employing efficient feature classifiers based on neural networks. The system developed is versatile with capabilities of detecting stego objects in JPEG images as well as WAV audio files.
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Citations
A multi-algorithm, high reliability, extensible steganalyzer using services oriented architecture
Ausif Mahmood,Eman Abdelfattah +1 more
TL;DR: This dissertation is proposing to develop a unified Steganalyzer that can not only work with different media types such as images and audio, but further is capable of providing improved accuracy in stego detection through the use of multiple algorithms.
References
Fundamentals of neural networks
Ali Zilouchian
- 01 Jan 2001
TL;DR: The primary factors for the recent resurgence of interest in the area of neural networks are the extension of Rosenblatt, Widrow and Hoff's works dealing with learning in a complex, multi-layer network, Hopfield mathematical foundation for understanding the dynamics of an important class of networks, as well as much faster computers than those of 50s and 60s.
585
Intelligent Control Systems Using Soft Computing Methodologies
Ali Zilouchian,Mohammad Jamshidi +1 more
- 01 Dec 2000
TL;DR: Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints and integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and providestudents with a tool for solving the examples and exercises within the book.
Improved detection and evaluation for JPEG steganalysis
Qingzhong Liu,Andrew H. Sung,Mengyu Qiao +2 more
- 19 Oct 2009
TL;DR: A novel method of JPEG steganalysis is proposed based on an observation of bi-variate generalized Gaussian distribution in Discrete Cosine Transform (DCT) domain, neighboring joint density features on both intra-block and inter-block are extracted.
35
A graph–theoretic approach to steganography
Stefan Hetzl,Petra Mutzel +1 more
- 19 Sep 2005
TL;DR: A graph-theoretic approach to steganography based on the idea of exchanging rather than overwriting pixels is suggested and an algorithm based on this approach with support for several types of image and audio files is implemented.
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