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p-Index From 2021 - 2026
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All Journal International Journal of Tourism and Hospitality in Asia Pasific Journal of Future Artificial Intelligence and Technologies
Sahu, Aditya Kumar
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Humanities Computer Science & IT

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AI-Powered Steganography: Advances in Image, Linguistic, and 3D Mesh Data Hiding – A Survey Setiadi, De Rosal Ignatius Moses; Ghosal, Sudipta Kr; Sahu, Aditya Kumar
Journal of Future Artificial Intelligence and Technologies Vol. 2 No. 1 (2025): in progress
Publisher : Future Techno Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/faith.3048-3719-76

Abstract

The rapid evolution of artificial intelligence (AI) has significantly transformed the field of steganography, extending its scope beyond conventional image-based techniques to novel domains such as linguistic and 3D mesh data hiding. This review presents a concise, accessible, and critical examination of recent AI-powered steganography methods, focusing on three distinct modalities: image, linguistic, and 3D mesh. Unlike most surveys focusing solely on one modality, this work highlights some modalities, identifies their unique challenges, and discusses how AI has reshaped embedding mechanisms, evaluation strategies, and security concerns. In image-based steganography, deep models such as GANs and Transformers have improved imperceptibility and extraction accuracy, but face limitations in computational efficiency and extraction consistency. Linguistic steganography, previously hindered by semantic fragility, has been revitalized by large language models (LLMs), enabling context-aware and reversible embedding, though still constrained by metric standardization and synchronization issues. Meanwhile, 3D mesh steganography remains dominated by non-AI methods, offering fertile ground for innovation through geometric deep learning. This review also provides a comparative summary of design principles, performance metrics, and modality-specific trade-offs. The analysis reveals a shift in evaluation paradigms, from numeric fidelity (e.g., PSNR, SSIM) to semantic and perceptual metrics (e.g., LPIPS, BERTScore, Hausdorff Distance). Looking ahead, future directions include cross-modal integration, domain adaptation, lightweight AI models, and the development of unified benchmarks. By presenting recent advances and critical perspectives across underexplored domains, this survey aims to inspire early-stage researchers and practitioners to explore new frontiers of steganography in the AI era.
From Local Flavor to Global Engagement: Strategic Localization Approaches for Marrybrown Malaysia Jian, Oh Zi; Pandey, Rudresh; Mazzuan, Nur Alya Maisarah; Sahu, Aditya Kumar; Yusra, Nur Amalina Hadirah; Halim, Nur Aqilah Abdul; Amir Hamzah, Nur Ardina; Tomar, Sania; Kee, Daisy Mui Hung
International Journal of Tourism and Hospitality in Asia Pasific Vol 9, No 1 (2026): February 2026
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/ijthap.v9i1.4375

Abstract

This study examines strategic approaches for enhancing Marrybrown Malaysia’s global competitiveness through menu localization, customer engagement, and brand loyalty. Drawing on localization and engagement theories, the study investigates how customer engagement and brand loyalty influence acceptance of localized menu strategies in international markets. A quantitative research design was adopted, and data were collected from 151 Malaysian consumers using a structured questionnaire. Multiple regression analysis revealed that customer engagement has a significant positive effect on menu localization, while brand loyalty also demonstrates a positive but comparatively weaker influence. The findings suggest that active customer interaction and emotional attachment to the brand enhance consumer acceptance of culturally adapted menu offerings. This study contributes to the limited literature on Malaysian fast-food brands by providing empirical evidence on localization strategies that support global expansion. The findings offer managerial insights for Marrybrown to strengthen digital engagement and leverage loyal customers when implementing international localization strategies.
Co-Authors Amir Hamzah, Nur Ardina De Rosal Ignatius Moses Setiadi Ghosal, Sudipta Kr Halim, Nur Aqilah Abdul Jian, Oh Zi Kee, Daisy Mui Hung Mazzuan, Nur Alya Maisarah Pandey, Rudresh Tomar, Sania Yusra, Nur Amalina Hadirah