Harnessing advanced techniques for image steganography: sequential and random encoding with deep learning detection

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dc.contributor.authorAl Zakitat, Mustafa Ali Sahib
dc.contributor.authorAbdulrazzaq, Mohammed Majid
dc.contributor.authorRamaha, Nehad T. A.
dc.contributor.authorMukhlif, Yasir Adil
dc.contributor.authorIsmael, Omar Ayad
dc.date.accessioned2024-05-31T07:59:51Z
dc.date.available2024-05-31T07:59:51Z
dc.date.issued2024en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.descriptionVolume Editors : García Márquez F.P., Jamil A., Hameed A.A., Segovia Ramírez I.
dc.description.abstractThis study delves into the intricacies of steganography, a method employed for concealing information within a clandestine medium to enhance data security during transmission. Given that information is often represented in various forms, such as text, audio, video, or images, steganography offers a distinctive advantage over conventional cryptography by focusing on concealing the very existence of the message, rather than merely its content. This research introduces a novel steganographic technique that places equal emphasis on both message concealment and security enhancement. This study highlights two primary steganographic methods: sequential encoding and random encoding. By employing both encryption and image compression, these techniques fortify data security while preserving the visual integrity of cover images. Advanced deep learning models, namely Vgg-16 and Vgg-19, are proposed for the detection of image steganography, with their accuracy and loss rates rigorously evaluated. The significance of steganography extends across various sectors, including the military, government, and online domains, underscoring its pivotal role in contemporary data communication and security.en_US
dc.identifier.citationAl Zakitat, M. A. S., Abdulrazzaq, M. M., Ramaha, N. T. A., Mukhlif, Y. A., Ismael, O. A. (2024). Harnessing advanced techniques for image steganography: sequential and random encoding with deep learning detection. Lecture Notes in Networks and Systems, 960, 456-470. 10.1007/978-3-031-56728-5_38en_US
dc.identifier.endpage470en_US
dc.identifier.isbn9783031567278
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85193627930
dc.identifier.scopusqualityQ4
dc.identifier.startpage456en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/4718
dc.identifier.volume960en_US
dc.indekslendigikaynakScopus
dc.institutionauthorAl Zakitat, Mustafa Ali Sahib
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.isversionof10.1007/978-3-031-56728-5_38en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural networken_US
dc.subjectCryptographen_US
dc.subjectData miningen_US
dc.subjectMachine learningen_US
dc.subjectNetwork securityen_US
dc.titleHarnessing advanced techniques for image steganography: sequential and random encoding with deep learning detection
dc.typeConference Object

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