Efficient Computations on Encrypted Data Stored in the Cloud

Systems today often handle massive amount of data with little regard to privacy or security issues that may arise. This problem has become more acute as more and more individuals and organizations are using cloud-based data storage. Encryption techniques has often provided a key role in protecting sensitive information, however many challenges remain in using these types of techniques in this new cloud-based setting. This project focuses on building effective, scalable, and secure solutions to address these challenges, in particular as it pertains to computations needed for search and audit on encrypted data by data owners, users, or cloud service providers.

Faculty Supervisor:

Ali Miri

Student:

Fadi Younis

Partner:

iG2 Group Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Ryerson University