An Enhanced Least Significant Bit Steganographic Method For Information Hiding

Show simple item record

dc.contributor.author Kamau, Gabriel Macharia
dc.date.accessioned 2014-09-01T10:46:26Z
dc.date.available 2014-09-01T10:46:26Z
dc.date.issued 2014-09-01
dc.identifier.uri http://hdl.handle.net/123456789/1504
dc.description A thesis submitted in partial Fulfillment for the degree of Master of Science in Software Engineering in the Jomo Kenyatta University of Agriculture and Technology 2013 en_US
dc.description.abstract The least significant bit (LSB) insertion method is a simple steganographic algorithm that takes the least significant bit in some bytes of the cover medium and swaps them with a sequence of bytes containing the secret data in order to conceal the information in the cover medium. However its imperceptibility and hiding capacity are relatively low. This is as revealed by the statistical characteristics of its resultant stego images compared to the original cover images. To increase the level of imperceptibility and the hiding capacity in the LSB insertion method, this research proposes an enhanced LSB method that employs a selective and randomized approach in picking specific number of target image bits to swap with the secret data bits during the embedding process. To facilitate the selective picking of the target image bits, a variation of the standard minimal linear congruential pseudo random number generator (LCG) is used. The message digest (digital signature) of a user supplied password is used to seed the LCG and to extract the message from the cover medium. In measuring the effectiveness of the proposed method, the study adopted an experimental research design where the statistical characteristics of the proposed method stego images were compared with those of the traditional LSB method in a comparative experiment designed to establish the levels of image distortion (noise) introduced in the original cover image when either of the methods is used under the same payload and image. The experiment results indicated improved levels of imperceptibility and hiding capacity in the proposed method. en_US
dc.description.sponsorship Dr. Stephen Kimani JKUAT, Kenya Dr. Waweru Mwangi JKUAT, Kenya en_US
dc.language.iso en en_US
dc.relation.ispartofseries MSc. Software Engineering;2013
dc.subject software engineering en_US
dc.title An Enhanced Least Significant Bit Steganographic Method For Information Hiding en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account