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High Capacity Image Steganography System based on Multi-layer Security and LSB Exchanging Method

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dc.contributor.authorHameed R.S.en_US
dc.contributor.authorMokri S.S.en_US
dc.contributor.authorTaha M.S.en_US
dc.contributor.authorTaher M.M.en_US
dc.contributor.authorid57559903800en_US
dc.contributor.authorid24734206100en_US
dc.contributor.authorid57204883033en_US
dc.contributor.authorid57559675900en_US
dc.date.accessioned2023-05-29T09:39:57Z
dc.date.available2023-05-29T09:39:57Z
dc.date.issued2022
dc.descriptionData transfer; Economic and social effects; Image processing; Steganography; High capacity; High capacity component; High-capacity; High-capacity images; Image steganography; Information hiding; Least significant bits; Multi-layer security; Multi-layers; Pay load capacity; Cryptographyen_US
dc.description.abstractData security is becoming an important issue because of the vast use of the Internet and data transfer from one place to another. Security of these data is essential, especially when these data represent critical information. There are several techniques used to hide these data, such as encryption. Steganography can be utilised as an alternative to encryption because encryption is susceptible to data modification during transmission. Steganography is the hiding data on a cover multimedia such as images, audio, and video. The technique allows security for data transmission so unwanted third parties cannot notice the hidden data. The challenge of steganography is the trade-off between the hidden data's payload capacity and the system's imperceptibility and robustness. If the hidden data increases, the imperceptibility and the robustness will be decreased. This case is a big challenge in this digital world where social media, Internet, and data transfer are used hugely. Because of this, this paper proposes using a modified Least Significant Bit (LSB) method for the embedding process called Multi-Layer Least Significant Bit Exchange Method (MLLSBEM). This proposed algorithm uses the AES encryption method to encrypt the secret text and then uses Huffman coding to compress the encrypted message as pre-processing data. The proposed study seeks to strike a compromise between important issues, provide maximum payload capacity, and retain high security, imperceptibility, and reliability for secret communication Using image processing and steganography techniques. Simulation findings demonstrate that the suggested method is superior for existing PSNR, SSIM, NCC, and payload capacity investigations. The proposed method is immune to the histogram, chi-square, and HVS attacks. � 2022, International Journal of Advanced Computer Science and Applications. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14569/IJACSA.2022.0130814
dc.identifier.epage115
dc.identifier.issue8
dc.identifier.scopus2-s2.0-85137169616
dc.identifier.spage108
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85137169616&doi=10.14569%2fIJACSA.2022.0130814&partnerID=40&md5=8918460d46b2f91a7db1f8d48fbacc3d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27129
dc.identifier.volume13
dc.publisherScience and Information Organizationen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleInternational Journal of Advanced Computer Science and Applications
dc.titleHigh Capacity Image Steganography System based on Multi-layer Security and LSB Exchanging Methoden_US
dc.typeArticleen_US
dspace.entity.typePublication
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