Side-Channel Attack Mitigation in Cloud-Native Application Deployments

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Auteurs principaux: Safa Mohamed, Safa Kamal, Safa Mostafa
Format: Recurso digital
Publié: Zenodo 2026
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author Safa Mohamed
Safa Kamal
Safa Mostafa
author_facet Safa Mohamed
Safa Kamal
Safa Mostafa
contents <p class="MsoNormal">This article presents a comprehensive examination of side-channel attack mitigation in cloud-native application deployments, addressing the critical challenges and opportunities at the intersection of cybersecurity, advanced system architecture, and cybersecurity. The study synthesizes insights from peer-reviewed references spanning digital twin security, adaptive defense frameworks, deep learning-based anomaly detection, cloud-IoT security management, encrypted search optimization, 5G network security, massive MIMO signal processing, privacy-preserving architectures, and generative model applications. Each reference is individually cited and contextualized within the broader discourse on the technical and organizational dimensions of modern security. The article examines how these diverse research contributions collectively inform the design, implementation, and evaluation of robust solutions for contemporary security and architectural challenges. By integrating technical analyses with organizational and practical considerations, this work provides a holistic perspective that is relevant to both researchers and practitioners working to advance the state of the art in cybersecurity.</p>
format Recurso digital
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institution Zenodo
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publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Side-Channel Attack Mitigation in Cloud-Native Application Deployments
Safa Mohamed
Safa Kamal
Safa Mostafa
<p class="MsoNormal">This article presents a comprehensive examination of side-channel attack mitigation in cloud-native application deployments, addressing the critical challenges and opportunities at the intersection of cybersecurity, advanced system architecture, and cybersecurity. The study synthesizes insights from peer-reviewed references spanning digital twin security, adaptive defense frameworks, deep learning-based anomaly detection, cloud-IoT security management, encrypted search optimization, 5G network security, massive MIMO signal processing, privacy-preserving architectures, and generative model applications. Each reference is individually cited and contextualized within the broader discourse on the technical and organizational dimensions of modern security. The article examines how these diverse research contributions collectively inform the design, implementation, and evaluation of robust solutions for contemporary security and architectural challenges. By integrating technical analyses with organizational and practical considerations, this work provides a holistic perspective that is relevant to both researchers and practitioners working to advance the state of the art in cybersecurity.</p>
title Side-Channel Attack Mitigation in Cloud-Native Application Deployments
url https://doi.org/10.5281/zenodo.20392294