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Privacy and Data Protection
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Privacy and Data Protection
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Academic year 2016/2017
- Course ID
- INF0083
- Teacher
- Prof. Ruggero Gaetano Pensa (Titolare del corso)
- Year
- 1° anno 2° anno
- Teaching period
- Annuale
- Type
- A scelta dello studente
- Credits/Recognition
- 2
- Course disciplinary sector (SSD)
- INF/01 - informatica
- Delivery
- Tradizionale
- Language
- Inglese
- Attendance
- Obbligatoria
- Type of examination
- Orale
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Sommario del corso
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Course objectives
The course aims at introducing the main methods for private big data protection. It focuses on the principal anonymization models that have been proposed for both statistical databases (e.g., surveys, clinical data) and graph databases (e.g., social networks), with a special focus on the challenges of the so-called "Big Data Era".
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Results of learning outcomes
- General overview knowledge about privacy breaches and big data protection methods- An improved awareness on the need for privacy enhancement in big data management and analysis- In-depth analysis of one specific topic- Oggetto:
Learning assessment methods
Oral examination on one specific topic with few questions aimed at assessing the overall comprehension of the course
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Program
- The concept of privacy and privacy laws in different countries (2h)- The challenges of privacy in the "Big Data Era" (2h)- Privacy attacks and models in statistical databases (8h)- k-anonymity- l-diversity- t-closeness- delta-presence- Privacy preserving data mining (2h)- Differential privacy (4h)- Location privacy (1h)- Privacy attacks and models in graph databases (1h)Suggested readings and bibliography
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Material provided by teachers
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Class schedule
Days Time Classroom Martedì 9:00 - 13:00 Aula E Dipartimento di Informatica Mercoledì 9:00 - 13:00 Aula E Dipartimento di Informatica Lessons: dal 29/05/2017 to 20/06/2017
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