Universiti Teknologi Malaysia Institutional Repository

Performance evaluation measurement of image steganography techniques with analysis of LSB based on variation image formats

Hashim, Mohammed Mahdi and Mohd. Rahim, Mohd. Shafry and Johi, Fadil Abass and Taha, Mustafa Sabah and Hamad, Hassan Salman (2018) Performance evaluation measurement of image steganography techniques with analysis of LSB based on variation image formats. International Journal of Engineering & Technology, 7 (4). pp. 3505-3514. ISSN 2227-524X

[img]
Preview
PDF
841kB

Official URL: https://www.sciencepubco.com/index.php/ijet/articl...

Abstract

Recently, Steganography is an outstanding research area which used for data protection from unauthorized access. Steganography is defined as the art and science of covert information in plain sight in various media sources such as text, images, audio, video, network channel etc. so, as to not stimulate any suspicion; while steganalysis is the science of attacking the steganographic system to reveal the secret message. This research clarifies the diverse showing the evaluation factors based on image steganographic algorithms. The effectiveness of a steganographic is rated to three main parameters, payload capacity, image quality measure and security measure. This study is focused on image steganographic which is most popular in in steganographic branches. Generally, the Least significant bit is major efficient approach utilized to embed the secret message. In addition, this paper has more detail knowledge based on Least significant bit LSB within various Images formats. All metrics are illustrated in this study with arithmetical equations while some important trends are discussed also at the end of the paper.

Item Type:Article
Uncontrolled Keywords:image steganography, least significant bit (LSB), steganalysis, image histogram, image quality measurement
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:85216
Deposited By: Yanti Mohd Shah
Deposited On:17 Mar 2020 08:01
Last Modified:17 Mar 2020 08:01

Repository Staff Only: item control page