| As time goes on, humans collect more and more data. This data is used to create useful information which allows us to make decisions. Not all data is in one database, however. Humanity's data is split among millions of different owners: companies, individuals, and governments. In order to create better information for better decisions, data sharing can be employed. However, the different motivations of the owners can cause problems in the data sharing process. This dissertation examines the different motivations involved in data sharing, and proposes methods to both expedite and assure the data sharing process's completion. In particular, it considers approximations in secure data mining, enforcing honesty in data sharing through game theory, and improvements on the verification of outsourced data queries. |
