Text-based Steganography Using Cover Text Free Human-Generated Natural Language (HGNL) Approach

Authors

  • R. Thamaraiselvan Assistant Professor, Department of Computer Applications, M.G.R. College (Arts & Science), Hosur - 635 109, Tamil Nadu, India.
  • A. Saradha Professor and Head, Department of Computer Science and Engineering, Institute of Road and Transport Technology, Erode - 638 316, Tamil Nadu, India.

DOI:

https://doi.org/10.51983/ajcst-2013.2.1.1710

Keywords:

Lexical, Steganography, Stego-Text, Text-Based

Abstract

A common pitfall of existing encryption procedures using lexical (text-based) steganography is the fact that the encrypted text may be recognized as such by someone who intercepts it. We introduce a new procedure which combines an automated algorithm with human input. The resulting texts are novel and therefore not searchable or otherwise easily recognized as encoding a hidden message

Downloads

Published

05-05-2013

How to Cite

Thamaraiselvan, R., & Saradha, A. (2013). Text-based Steganography Using Cover Text Free Human-Generated Natural Language (HGNL) Approach. Asian Journal of Computer Science and Technology, 2(1), 32–38. https://doi.org/10.51983/ajcst-2013.2.1.1710

Issue

Vol. 2 No. 1 (2013): January-June 2013

Section

Articles