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Encryption Aware Query Processing for Data Outsourcing
PhD Qualifying Examination
Title: "Encryption Aware Query Processing for Data Outsourcing"
by
Mr. Javad GHAREH CHAMANI
Abstract:
Outsourcing data to the cloud provides savings in costs and guarantees of
availability. However, privacy and confidentiality issues often discourage
owners from outsourcing their data. Although there exist fully implemented
systems for encrypted database outsourcing, such as CryptDB and SDB, their
increased leakage and restricted functionality have limited their use in
practice. One of the most important challenges in these systems is their
inability to search and perform algebraic operations (e.g., addition and
comparison) directly on encrypted data. On the other hand, general-purpose
solutions such as fully homomorphic encryption and oblivious RAM can
support arbitrary functionalities without any leakage but their poor
performance prevents their deployment in practice. In this literature
review, we define and explain the model of interaction and security for
computing over encrypted data in the cloud setting. We review the most
important research directions and approaches in the area. We note that
solutions can be categorized according to three different aspects:
functionality, privacy, and efficiency. Additional guarantees may include
outsourced data integrity, access control policies, and different data
outsourcing architectures. For each type of solution, we attempt to
identify their strengths and limitations. Finally, we propose some general
directions for future research, based on the identified limitations.
Date: Wednesday, 18 July 2018
Time: 2:00pm - 4:00pm
Venue: Room 5506
Lifts 25/26
Committee Members: Dr. Dimitris Papadopoulos (Supervisor)
Dr. Tao Wang (Chairperson)
Prof. Cunsheng Ding
Dr. Charles Zhang
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