| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) - Online |
 Subjects |
| PRIVACY PROTECTION |
| Contents |
| IDENTIFYING DATA | 2018_19 |
| Subject | PRIVACY PROTECTION | Code | 17685107 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | First | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| 1. Introduction | a. Basic concepts of privacy b. Legal principles c. Privacy by design d. Design strategies for privacy |
| 2. Data privacy techniques | a. Authentication b. Attribute-based Credentials. c. Secure and private communications d. Anonymity and pseudo-anonymity in communications. e. Privacy in data storages f. Privacy-preserving computations g. Techniques for improving transparency h. Intervenability-enhancing techniques |
| 3. Privacy in data bases | 3. Privacy in data bases a. Owner's privacy del propietari (Privacy-preserving data mining) b. User's privacy (private information retrieval) c. Respondent's privacy (anonymization) |
| 4. User's privacy | a. Issues of private information retrieval (PIR). b. Modifications to PIR based on single users. c. Modifications to PIR based on p2p networks (P2P PIR). d. Rational behaviour in P2P PIR. |
| 5. Anonymization in data bases | a. Basic concepts b. Privacy models c. Protection of tables d. Protection of interactive data bases. e. Protection of microdata g. Evaluation of statistical disclosure control methods. h. Anonymization software |
