Cryptologia
Hiding the Hidden: A software system for concealing ciphertext as innocuous text
ICICS '97 Proceedings of the First International Conference on Information and Communication Security
Plausible Deniability Using Automated Linguistic Stegonagraphy
InfraSec '02 Proceedings of the International Conference on Infrastructure Security
Natural Language Watermarking: Design, Analysis, and a Proof-of-Concept Implementation
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Natural Language Watermarking and Tamperproofing
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
A Practical and Effective Approach to Large-Scale Automated Linguistic Steganography
ISC '01 Proceedings of the 4th International Conference on Information Security
CAPTCHA: using hard AI problems for security
EUROCRYPT'03 Proceedings of the 22nd international conference on Theory and applications of cryptographic techniques
A method of linguistic steganography based on collocationally-verified synonymy
IH'04 Proceedings of the 6th international conference on Information Hiding
Translation-based steganography
IH'05 Proceedings of the 7th international conference on Information Hiding
Comprehensive linguistic steganography survey
International Journal of Information and Computer Security
Edustega: an Education-Centric Steganography methodology
International Journal of Security and Networks
UniSpaCh: A text-based data hiding method using Unicode space characters
Journal of Systems and Software
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We introduce content-aware steganography as a new paradigm. As opposed to classic steganographic algorithms that only embed information in the syntactic representation of a datagram, content-aware steganography embeds secrets in the semantic interpretation which a human assigns to a datagram. In this paper, we outline two constructions for content-aware stegosystems, which employ, as a new kind of security primitive, problems that are easy for humans to solve, but difficult to automate. Such problems have been successfully used in the past to construct Human Interactive Proofs (HIPs), protocols capable of automatically distinguishing whether a communication partner is a human or a machine.