Research Area:  Cloud Security
Cloud computing offers the prospect of on-demand, elastic computing,provided as a utility service, and it is revolutionizing many domains of computing. Compared with earlier methods of processing data, cloud computing environments provide significant benefits, such as the availability of auto-mated tools to assemble, connect, configure and reconfigure virtualized re-sources on demand. These make it much easier to meet organizational goals as organizations can easily deploy cloud services. However, the shift in paradigm that accompanies the adoption of cloud computing is increasingly giving rise to security and privacy considerations relating to facets of cloud computing such as multi-tenancy, trust, loss of control and accountability. Consequently,cloud platforms that handle sensitive information are required to deploy technical measures and organizational safeguards to avoid data protection break-downs that might result in enormous and costly damages.
The thesis continues by proposing a system called Scab for privacy-preserving brain image analysis in the cloud. The final section of the dissertation describes a new approach for quantifying and minimizing the risk of operating system kernel exploitation, in addition to the development of a system call interposition reference monitor for Lind - a dual sandbox.
Name of the Researcher:  Ali Gholami
Name of the Supervisor(s):  Erwin Laure
Year of Completion:  2016
University:  KTH Royal Institute of Technology
Thesis Link:   Home Page Url