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.
Data Security in Cloud Computing covers major aspects of securing data
in Cloud Computing. Topics covered include NOMAD: a framework for
ensuring data confidentiality in mission-critical cloud based
applications; 3DCrypt: privacy-preserving pre-classification volume
ray-casting of 3D images in the cloud; multiprocessor system-on-chip for
processing data in Cloud Computing; distributing encoded data for
private processing in the cloud; data protection and mobility management
for cloud; understanding software defined perimeter; security, trust and
privacy for Cloud Computing in transportation cyber-physical systems;
review of data leakage attack techniques in cloud systems; Cloud
Computing and personal data processing: sorting out legal requirements;
the Waikato data privacy matrix; provenance reconstruction in clouds;
and security visualization for Cloud Computing.
