Privacy, Data Protection and Massive Data Analysis in Emerging Scenarios

The objective of this course is to introduce the fundamental concepts at the basis of massive data management and analysis, including the main processing techniques dealing with data at massive scale and their implementation on distributed computational frameworks, on one side, and the technologies and solutions at the basis of cloud computing paradigm and modern distributed systems (e.g., microservice architectures), on the other side.
The course will also study the security and privacy risks arising in public and semi-public data release and in emerging scenarios (e.g., the cloud), illustrating solutions aimed at mitigating these risks.

The student will have knowledge and understanding of the main approaches enabling the processing of massive amounts of data, as well as the operating principles of modern distributed computing systems, including cloud computing and microservice-based architectures. The student will acquire the ability to design and execute computations on massive datasets. The student will be able to identify privacy risks in data publication and in outsourcing scenarios, and to propose and evaluate solutions able to mitigate such risks.