aspg-2-4032-1792488183 20261020092303 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cybersecurity and Information Management JCIM 2769-7851 2690-6775 2026 17 2 Sanaa Ahmed Kadhim University of Information Technology and Communications, Biomedical Informatics College, 10066, Baghdad, Iraq Zaid Ali Alsarray University of Information Technology and Communications, Biomedical Informatics College, 10066, Baghdad, Iraq Saad Abdual Azize Abdual Rahman Department of Computer Engineering Techniques, Almamoon University Collage, Baghdad, Iraq Massila Kamalrudin Universiti Teknikal Malaysia, Faculty of Information and Communication Technology, Melaka, Malaysia Mustafa Musa Universiti Teknikal Malaysia, Center of Research and Innovation Management, Melaka, Malaysia 16.00 Normal false false false TR X-NONE AR-SA DefSemiHidden="false" DefQFormat="false" DefPriority="99" LatentStyleCount="371"> UnhideWhenUsed="true" QFormat="true" 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Name="Bibliography"/> UnhideWhenUsed="true" QFormat="true" Name="TOC Heading"/> Name="Grid Table 1 Light Accent 1"/> Name="Grid Table 6 Colorful Accent 1"/> Name="Grid Table 7 Colorful Accent 1"/> Name="Grid Table 1 Light Accent 2"/> Name="Grid Table 6 Colorful Accent 2"/> Name="Grid Table 7 Colorful Accent 2"/> Name="Grid Table 1 Light Accent 3"/> Name="Grid Table 6 Colorful Accent 3"/> Name="Grid Table 7 Colorful Accent 3"/> Name="Grid Table 1 Light Accent 4"/> Name="Grid Table 6 Colorful Accent 4"/> Name="Grid Table 7 Colorful Accent 4"/> Name="Grid Table 1 Light Accent 5"/> Name="Grid Table 6 Colorful Accent 5"/> Name="Grid Table 7 Colorful Accent 5"/> Name="Grid Table 1 Light Accent 6"/> Name="Grid Table 6 Colorful Accent 6"/> Name="Grid Table 7 Colorful Accent 6"/> Name="List Table 1 Light Accent 1"/> Name="List Table 6 Colorful Accent 1"/> Name="List Table 7 Colorful Accent 1"/> Name="List Table 1 Light Accent 2"/> Name="List Table 6 Colorful Accent 2"/> Name="List Table 7 Colorful Accent 2"/> Name="List Table 1 Light Accent 3"/> Name="List Table 6 Colorful Accent 3"/> Name="List Table 7 Colorful Accent 3"/> Name="List Table 1 Light Accent 4"/> Name="List Table 6 Colorful Accent 4"/> Name="List Table 7 Colorful Accent 4"/> Name="List Table 1 Light Accent 5"/> Name="List Table 6 Colorful Accent 5"/> Name="List Table 7 Colorful Accent 5"/> Name="List Table 1 Light Accent 6"/> Name="List Table 6 Colorful Accent 6"/> Name="List Table 7 Colorful Accent 6"/> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0in; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi; mso-ansi-language:TR;} The invention of deepfake applications make it possible to produce highly natural and real voice recordings which creates critical concerns about the credibility of audio telecommunications. The confirmation of the speakers’ voices became essential especially for sensitive data such as financial, healthcare, and surveillance risk management services, authentication of speakers’ voices became significantly crucial. To improve solutions to this issue, this paper presents MACSteg strategy which is a real-time, lightweight voice authentication technique by discreetly encapsulate device’s MAC address within voice file using Quantization Index Modulation (QIM) stego-technique. Unlike many traditional strategies that degrade voice quality or produces noticed jitter, MACSteg technique preserve both clarity and efficiency. Implementations showed that the hidden MAC address stayed intact in spite of some typical voice processing such as compression, while interfered signals reformed by clatter or volume variations were consistently detected. The proposed system obtained a high signal-to-noise ratio (SNR) exceeding 70 dB, illustrating that the alterations were inaudible, and maintained well in real-time submissions, giving only a processing delay of 0.01 milliseconds per each audio segment. The results indicate MACSteg’s potential as a ascendable and effective approach for safeguarding voice authenticity, especially in circumstances where verification of speaker’s voice is vital. 2026 14 22 4032 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCIM.170202 https://www.americaspg.com/journal/2/article/4032 https://www.americaspg.com/storage/61757602354.pdf