Privacy, data protection, and massive data analysis in emerging scenarios (Unit: Privacy and Data Protection)
Important
This unit of the course corresponds to the course 'Privacy and Data Protection'
For the unit on Cloud Computing and Algorithms for massive datastes, please refer to prof. Anisetti and Prof. Malchiodi, respectively
This course corresponds to the course 'Algorithms for massive data, cloud and distributed computing' till A.Y. 2022-2023
Class Schedule
First trimester
Thursday: 9:30 - 11:30 (room to be defined)
Friday: 12:30 - 14:30 (room to be defined)
Office hours
by appointment via email
Course Outline
- Introduction to security and privacy
introduction to the subject and details about the final exam - Authentication and access control
authentication of users in computer systems, access control policies, models and mechanisms - Macrodata and microdata protection
techniques for protecting macrodata table and microdata table public release - Privacy in data publication
sintactic and semantic techniques for protecting respondents privacy in data publication (e.g., k-anonymity, l-diversity, differential privacy) - Data protection in the emerging
issues arising when moving data to the cloud - Data confidentiality and integrity in the cloud
issues related to the protection of data stored in the cloud, to guarantee their confidentiality and integrity - Access confidentiality and integrity in the cloud
issues related to the protection of accesses to data stored in the cloud, to guarantee confidentiality and integrity of access operations
Slides
The slides of the course will be available on myAriel platform.
Text Books and Scientific Papers
Announced during classes