Secure Multiparty Computation for Privacy Preserving Data Mining

Acknowledgments This thesis is the result of my internship at Erasmus University Rotterdam, as part of the the EU-FP7 project CASSANDRA. I would like to thank professor Hennie Daniels for giving such an opportunity to perform an interesting and challenging master's thesis project. I am very grateful to my supervisor Berry Schoenmakers at Eindhoven University of Technology , for the guidance, questions and answers, and his humor. Special thanks go to Berry Schoenmakers and Sebastiaan de Hoogh, for their profound knowledge in cryptography and providing guidance and support to my work. And with gratitude to Hennie Daniels and Lingzhe Liu, for managing my internship, and inspiring me some ideas in data mining. I enjoyed my study and life in the Netherlands, thanks to Eindhoven University of Technology and the Kerckhoffs Institute, for providing the 2-year master program in Information Security. And with special thanks to het Koninklijk Concertgebouworkest, for their fantastic and wonderful performances which give me serenity, comfort and enjoyment. Writing thesis is not easy for me, I am thankful to Sebastiaan de Hoogh and Boriš Skori´c, for their helpful comments to my thesis. And I would like to thank my friend Tingting Cao, for always encouraging me during the project. Finally and most importantly, I want to thank my parents for all their love and support over the years.