A Multi-Algorithm, High Reliability Steganalyzer Based on Services Oriented Architecture
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.
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.
Summary (1 min read)
- But further is capable of providing improved accuracy in stego detection through the use of multiple algorithms running in parallel.the authors.
- The proposed system integrates different steganalysis techniques in a reliable Steganalyzer with distributed and Services Oriented Architecture (SOA).
- The distributed architecture not only allows for concurrent processing to speed up the system, but also provides higher reliability than reported in the existing literature.
- The extendable nature of the SOA implementation allows for easy addition of new Steganalysis algorithms to the system in terms of services.
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