FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

(A Peer Review Journal)
e–ISSN: 2408–5162; p–ISSN: 2048–5170

FUW TRENDS IN SCIENCE & TECHNOLOGY JOURNAL

COMPARATIVE ANALYSIS OF IMAGES BASED ON LEAST SIGNIFICANT BIT (LSB) STEGANOGRAPHY
Pages: 740-744
Florence A. Oladeji1, Oluwayomi Awe1*, Taye O. Aro2, Adenrele A. Afolorunso3, A. Ibor4 and Charles O. Uwadia


keywords: Forensic analysis, steganography, least significant bit, steganalysis

Abstract

Steganography helps to conceal information between the sender and intended recipient so that others are not aware of the message presence, largely, it is to hide information. Digital steganography applies to different media like executable files, images, audio and videos, text and games. Steganalysis aims to check the presence of hidden data in the suspected image file. This paper applied some techniques in LSB algorithms to analyse four major open sources steganography tools (rSteg, OpenStego, ImageStegano and StegTool) by analysing their performances based on the stego size and extraction time taken and also, extracting out their hidden text. The result shows that OpenStego performs better irrespective of the size of the hidden data and time taken

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Highlights