High-Capacity Image Steganography with Minimum Modified Bits Based on Data Mapping and LSB Substitution

Zakaria, Abdul Alif and Hussain, Mehdi and Wahab, Ainuddin Wahid Abdul and Idris, Mohd Yamani Idna and Abdullah, Norli Anida and Jung, Ki Hyun (2018) High-Capacity Image Steganography with Minimum Modified Bits Based on Data Mapping and LSB Substitution. Applied Sciences, 8 (11). p. 2199. ISSN 2076-3417

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Official URL: https://doi.org/10.3390/app8112199

Abstract

Steganography is the art and practice of communication using hidden messages. The least significant bits (LSB) based method is the well-known type of steganography in the spatial domain. Usually, achieving the larger embedding capacity in LSB-based methods requires a large number of LSB bits modification which indirectly reduces the visual quality of stego-image and increases the risk of steganalysis detection attacks. In this study, we propose a novel steganography method with data mapping strategy which can reduce the number of bits modification per pixel. In the proposed method, four secret data bits are mapped with the four most significant bits of a cover pixel. Furthermore, the only two LSBs of a pixel are modified to indicate the mapping strategy. Experimental results show that the proposed method is able to achieve 3.48% larger embedding capacity while enhancing the visual quality (i.e., peak signal to noise ratio (PSNR) 3.73 dB) and reducing the modification of 0.76 bits per pixel. Moreover, the proposed method provides security against basic Regular and Singular groups (RS) steganalysis and histogram steganalysis detection attacks.

Item Type: Article
Uncontrolled Keywords: steganography; mapping data hiding; information hiding; spatial domain; least significant bits; most significant bits
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Centre for Foundation Studies in Science
Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 28 Jan 2019 03:31
Last Modified: 28 Jan 2019 03:31
URI: http://eprints.um.edu.my/id/eprint/20187

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