dc.contributor.author | Mulunda, C K | |
dc.contributor.author | Wagacha, P W | |
dc.contributor.author | Adede, A O | |
dc.date.accessioned | 2015-03-12T12:09:37Z | |
dc.date.available | 2015-03-12T12:09:37Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Mulunda, C. K., Wagacha, P. W., & Adede, A. O. (2013). Genetic Algorithm Based Model in Text Steganography. The African journal of information systems, 5(4), 2. | en_US |
dc.identifier.uri | http://hdl.handle.net/11295/81186 | |
dc.description.abstract | Steganography is an ancient art. It is used for security in open systems. It focuses on hiding secret
messages inside a cover medium.
The most important property of a cover medium is the amount of data
that can be stored inside it without changing its noticeable properties. There are many sophisticated
techniques with which to hide, analyze, and recover that hidden information. This pape
r discusses an
exploration in the use of Genetic Algorithm operators on the cover medium. We worked with text as the
cover medium with the aim of increasing robustness and capacity of hidden data. Elitism is used for the
fitness function. The model present
ed here is applied on text files, though the idea can also be used on
other file types. Our results show this approach satisfied both security and hiding capacity requirements.
Furthermore, we found that an increase in the size of the secret message result
ed in an exponential
increase in the size of the generated cover text. We also found a close relationship between the size of
the chromosome used and the population size. | en_US |
dc.language.iso | en | en_US |
dc.publisher | University of Nairobi | en_US |
dc.title | Genetic Algorithm Based Model in Text Steganography | en_US |
dc.type | Article | en_US |
dc.type.material | en_US | en_US |