Cloud Computing has already been embraced by many organizations and individuals due to its benefits of economy, reliability, scalability and guaranteed quality of service among others. But since the data is not stored, analysed or computed on site, this can open security, privacy, trust and compliance issues. This one-stop reference covers a wide range of issues on data security in Cloud Computing ranging from accountability, to data provenance, identity and risk management.

• Chapter 1: A data-centric view of cloud security
• Chapter 2: Nomad: a framework for ensuring data confidentiality in mission-critical cloud-based applications
• Chapter 3: Preserving privacy in pre-classification volume ray-casting of 3D images
• Chapter 4: Multiprocessor system-on-chip for processing data in cloud computing
• Chapter 5: Distributing encoded data for private processing in the cloud
• Chapter 6: Data protection and mobility management for cloud
• Chapter 7: Understanding software-defined perimeter
• Chapter 8: Security, trust, and privacy for cloud computing in Transportation Cyber-Physical Systems
• Chapter 9: Review of data leakage attack techniques in cloud systems
• Chapter 10: Cloud computing and personal data processing: sorting-out legal requirements
• Chapter 11: The Waikato Data Privacy Matrix
• Chapter 12: Data provenance in cloud
• Chapter 13: Security visualization for cloud computing: an overview