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DATA PROTECTION & PRIVACY

CODE 90538
ACADEMIC YEAR 2020/2021
CREDITS 9 credits during the 1st year of 10852 COMPUTER SCIENCE (LM-18) GENOVA

6 credits during the 1st year of 11160 COMPUTER ENGINEERING (LM-32) GENOVA

SCIENTIFIC DISCIPLINARY SECTOR ING-INF/05
LANGUAGE English
TEACHING LOCATION GENOVA (COMPUTER SCIENCE )
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

The course will introduce methodologies at the state of the art for protecting several data types (e.g., databases, time series, graphs, longitudinal data and transactional data). Furthermore, the course will provide some insights on legal aspects related to the protection of the user's privacy. 

AIMS AND CONTENT

LEARNING OUTCOMES

Students will learn the theoretical and practical bases of the anonymization of personal data. In particular, students will study state-of-the-art techniques for the anonymization of multidimensional data, graphs, time series, longitudinal and transactional data, as well as some legal bases on the protection of personal data.

AIMS AND LEARNING OUTCOMES

- To understand the data privacy problem

- To learn data anonymization algorithms at the stare of the art

- To read and understand a scientific paper

- To implement an anonymization technique, autonomously.

PREREQUISITES

- Programming

- Foundations of Algorithms and Data Structures

- Algebraic and statistical foundations.

TEACHING METHODS

lectures + hands on

SYLLABUS/CONTENT

- Static Data Anonymization for  Multidimensional Data and Complex Data Structures 

- Threats to Anonymized data

- Privacy-preserving Test Data Manufacturing

- Synthetic data generation

- Dynamic Data Protection: Tokenization

- Privacy through Data Hiding 

- Basics of Privacy Regulations 

RECOMMENDED READING/BIBLIOGRAPHY

Scientific papers and slides that will be provided during the course

TEACHERS AND EXAM BOARD

Exam Board

ALESSIO MERLO (President)

MARCO MARATEA

ALESSANDRO ARMANDO (President Substitute)

DAVIDE CAPUTO (Substitute)

LESSONS

TEACHING METHODS

lectures + hands on

LESSONS START

October 2018

Class schedule

All class schedules are posted on the EasyAcademy portal.

EXAMS

EXAM DESCRIPTION

Oral examination

ASSESSMENT METHODS

Pitch and demo of a project

Exam schedule

Date Time Location Type Notes
12/02/2021 09:00 GENOVA Esame su appuntamento
18/02/2021 09:00 GENOVA Esame su appuntamento
10/06/2021 00:09 GENOVA Esame su appuntamento
26/07/2021 09:00 GENOVA Esame su appuntamento
15/09/2021 09:00 GENOVA Esame su appuntamento
17/09/2021 09:00 GENOVA Esame su appuntamento