Research on Privacy and Security Issues in Cloud Computing
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 October 2026 | Viewed by 698
Special Issue Editors
Interests: cloud computing and security
Special Issue Information
Dear Colleagues,
Cloud computing underpins today’s digital economy by enabling elastic computing, storage, and AI-driven services at a global scale. As workloads migrate to public, private, hybrid, and multi-cloud environments—and extend to edge–cloud federations—privacy and security risks are amplified by shared infrastructures, complex supply chains, and cross-border data flows. Adversaries now exploit misconfigurations, side channels, software supply chain weaknesses, and AI-assisted attack tooling, while organizations must comply with evolving regulations for data protection, residency, and sovereignty. This Special Issue, “Research on Privacy and Security Issues in Cloud Computing,” seeks original research and practice-driven insights that advance end-to-end protections, from cryptographic foundations and confidential computing to secure orchestration, identity, operations, and compliance evidence. We especially welcome reproducible artifacts, comparative evaluations, and studies that illuminate trade-offs among security, privacy, availability, dependency, and usability.
Topics of interest include, but are not limited to:
- Confidential computing, TEEs, and remote attestation in cloud/edge.
- Zero-trust architectures, identity, access control, and federation.
- Privacy-preserving data analytics and machine learning (FL, DP, HE, MPC).
- Secure orchestration for containers, Kubernetes, or serverless.
- Multi-cloud, hybrid, and edge–cloud security, data sovereignty, and residency.
- Secure data sharing, data quality assurance, and lifecycle governance.
- Threat detection, incident response, and forensics at cloud scale.
- Side-channel and microarchitectural defenses in shared hardware.
- Supply chain security, SBOMs, and provenance in cloud services.
- Trust mechanisms for cross-departmental/regional data collaboration/sharing.
Prof. Dr. Kun She
Prof. Dr. Kai Zeng
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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Keywords
- cloud computing
- cloud security
- confidential computing
- zero-trust
- industrial IoT (IIoT)
- privacy-preserving technology
- federated learning
- differential privacy
- homomorphic encryption
- multi-cloud
- data sovereignty
- serverless security
- supply chain security
- incident response
- cross-domain data operation
- trust mechanism
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