Privacy and Security in Cloud and Big Data: Verifiable Accountability and Conformity Assessment
A Special Issue of Applied Sciences (ISSN 2076-3417) belonging to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 29
Editors
Interests: verifiable accountability; agentic and machine-to-machine security; hardened-by-design software; software architecture transparency; security governance and conformity assessment; secure service and cloud computing
Special Issues, Collections and Topics in MDPI journals
2. EY Consulting GmbH, Berlin, Germany
Interests: information security management systems (ISMS, ISO/IEC 27001); ISO/IEC TS 27022; cloud security certification; integrated management systems, security governance and process reference models; business continuity management; IT security audit and conformity assessment; risk management; critical-infrastructure security
Special Issue Information
Dear Colleagues,
Cloud platforms and large-scale data systems now hold most of the sensitive data that regulation cares about, and they hold it on infrastructure the data owner neither operates nor can inspect. Security controls for this setting are not in short supply. What is in short supply is evidence: a way for a customer, an auditor, or a regulator to establish, without trusting the provider’s own account, that a control existed, was configured as claimed, and was in force when a given record was processed.
This Special Issue collects work that turns cloud and big-data security into something a non-trusting party can verify. We are interested in the technical layer, where confidential computing, remote attestation, tamper-evident logging and privacy-enhancing computation produce artefacts that can be checked rather than believed, and in the organisational layer, where conformity assessment, certification schemes and management-system audits (ISO/IEC 27001 and its cloud extensions, C5, EUCS, SOC 2) decide what such artefacts are worth. Contributions that connect the two layers are especially welcome, as are those that measure the cost of verifiability at production scale.
We invite original research, system and protocol designs, empirical studies, benchmarks, case studies from regulated sectors, and critical reviews of privacy and security practice in cloud and big-data deployments.
Prof. Dr. Vladimir Stantchev
Prof. Dr. Knut Haufe
Guest Editors
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Keywords
- cloud security
- big data privacy
- verifiable accountability
- remote attestation and confidential computing
- tamper-evident audit logging
- privacy-enhancing technologies
- conformity assessment and certification (ISO/IEC 27001, C5, EUCS)
- security governance
- regulatory compliance (GDPR, NIS2, DORA)
- multi-tenant data protection
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