Noiseless Steganography

Noiseless Steganography: The Key to Covert Communications

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ISBN 9781439846216
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Features

  • Introduces a novel Noiseless Steganography Paradigm (Nostega) that neither hides data in a noise nor produces noise
  • Explains how to camouflage messages as well as their transmission
  • Demonstrates how to determine a suitable domain capable of generating an unsuspicious steganographic cover
  • Presents ten Nostega-based methodologies

 

Summary

Among the features that make Noiseless Steganography: The Key to Covert Communications a first of its kind:

  • The first to comprehensively cover Linguistic Steganography
  • The first to comprehensively cover Graph Steganography
  • The first to comprehensively cover Game Steganography

Although the goal of steganography is to prevent adversaries from suspecting the existence of covert communications, most books on the subject present outdated steganography approaches that are detectable by human and/or machine examinations. These approaches often fail because they camouflage data as a detectable noise by altering digital images, audio files, text, etc. However, such alteration raises suspicion and makes the message discernible by detecting its noise.

Addressing such shortcomings, Noiseless Steganography: The Key to Covert Communications introduces a novel Noiseless Steganography Paradigm (Nostega). Rather than hiding data in noise or producing noise, Nostega camouflages messages as well as their transmission in the form of unquestionable data in the generated steganographic cover. The book explains how to use Nostega to determine suitable domains capable of generating unsuspicious steganographic cover in which messages are embedded in the form of innocent data that is compatible with the chosen domain. It presents a number of Nostega-based methodologies, including but not limited to:

  • A novel cover type that enables data to be hidden in plotted graphs
  • A novel methodology that pursues popular games such as chess, checkers, crosswords, and dominoes to conceal messages
  • Comprehensive coverage of linguistic steganography
  • Several novel linguistic steganography methodologies based on Natural Language Processing and Computational Linguistic techniques such as: Education-Centric-Based, Summarization-Based, Natural Language Generation Based, Random-Series-Based, Email Headers Based, Automatic Joke Generation Based, List-Based, and Automatic Notes Generation Based

The first book to provide comprehensive coverage of Linguistic Steganography, Graph Steganography, and Game Steganography, it discusses the implementation and steganalysis validation of ten Nostega-based methodologies. It describes how to establish covert channels by employing the selected domain to serve as justification for the interaction and delivery of the cover among the communicating parties. Instead of using contemporary steganography approaches to camouflage your data as noise that is assumed to look innocent, the text provides you with the tools to prevent your adversaries from suspecting the existence of covert communications altogether.

Table of Contents

Introduction
Steganography: Definition, Current State, and Concerns
Noiseless Steganography (Nostega) Paradigm
Summary of the Contributions
Book Outline
Conclusion

Related Work
Text Steganography
Non-Textual Steganography

Graphstega: Graph Steganography Methodology
Graphstega Methodology
Other Steganographic Cover Types
Communications Protocol
Conclusion

Chestega: Chess Steganography Methodology
Chestega Methodology
Chestega Implementation
Conclusion

Edustega: Education-Centric Steganography Methodology
Edustega Methodology
Edustega Implementation
Conclusion

Sumstega: Summarization-Based Steganography Methodology
Automatic Summarization Overview
Sumstega Carriers
Sumstega Methodology
Conclusion

Matlist: Mature Linguistic Steganography Methodology
Introduction
Matlist Methodology
Matlist Implementation
Conclusion

NORMALS: Normal Linguistic Steganography Methodology
NORMALS Methodology
NORMALS Implementation
Performance
Conclusion

Headstega: Steganography Methodology
Headstega Methodology
Headstega Implementation
Conclusion

Jokestega: Automatic Joke Generation Based Steganography Methodology
Automatic Joke Generation
Jokestega Methodology
Jokestega Implementation
Conclusion

Listega: Steganography Methodology
Listega Methodology
Listega Implementation
Conclusion

Notestega: Steganography Methodology
Automatic Note Taking
Notestega Methodology
Notestega Implementation
Conclusion

Steganalysis Validation
Traffic Attack
Contrast and Comparison Attacks
Linguistics Attacks
Statistical Signature
Conclusion

Conclusion and Future Work
Contributions
Bitrate
Final Conclusion and Future Work

Bibliography

Index



 

Author Bio(s)

Dr. Abdelrahman Desoky is a scientist and an ambitious Computer Engineering Doctorate with over twenty years of experience in the computer field. He is an experienced educator at both the graduate and undergraduate levels. Furthermore, he has industrial expertise in developing full life cycle systems such as software, hardware, security, and telecommunications/networks. Dr. Desoky received a Doctoral Degree (Ph.D.) from The University of Maryland, Baltimore County (UMBC) and a Master of Science (M.Sc.) from the George Washington University; both degrees are in Computer Engineering. His Doctoral Dissertation is entitled "Nostega: A Novel Noiseless Steganography Paradigm." The paradigm explores the topic of noiseless steganography, which refers to the science and art of covert communications. Nostega provides a way to secure information in static stage and during data transmission to a legitimate recipient. His M.Sc. degree concentrated on Computer Architecture and Networks. His research is entitled "Security Architecture for Computers and Networks". Currently, he is The Academia Planet, CEO.