Harnessing Advanced Techniques for Image Steganography: Sequential and Random Encoding with Deep Learning Detection

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dc.contributor.authorAl, Zakitat, M.A.S.
dc.contributor.authorAbdulrazzaq, M.M.
dc.contributor.authorRamaha, N.T.A.
dc.contributor.authorMukhlif, Y.A.
dc.contributor.authorIsmael, O.A.
dc.date.accessioned2024-09-29T16:21:15Z
dc.date.available2024-09-29T16:21:15Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.descriptionInternational Conference on Emerging Trends and Applications in Artificial Intelligence, ICETAI 2023 -- 8 September 2023 through 9 September 2023 -- Istanbul -- 311999en_US
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. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.en_US
dc.identifier.doi10.1007/978-3-031-56728-5_38
dc.identifier.endpage470en_US
dc.identifier.isbn978-303156727-8
dc.identifier.issn2367-3370
dc.identifier.scopus2-s2.0-85193627930en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage456en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-56728-5_38
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9652
dc.identifier.volume960en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systemsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_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 Detectionen_US
dc.typeConference Objecten_US

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