Privacy and security in data sharing and management in emerging scenarios

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Privacy and security in data sharing and management in emerging scenarios

This module provides an overview of key issues, risks and solutions relating to data protection in emerging scenarios that are increasingly common for those working in the public and private sectors or as freelancers. These contexts include the sharing, publication, analysis, management and storage of data in such a way to comply with data privacy and security. Data protection laws and regulations impose restrictions that limit the use of such data. Individuals and businesses are increasingly demanding that data protection requirements be met and that they are guaranteed effective control over their data. 

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Topics

Concepts of privacy and anonymity
Issues relating to data protection; Regulatory aspects
Requirements and policies
Approaches to data protection (e.g. anonymisation, pseudonymisation); Learning about protection techniques and metrics (e.g. k-anonymity, l-diversity, differential privacy)
Data protection in emerging scenarios (e.g. AI, Smart Cities, Cloud); Privacy in AI contexts (e.g. Machine Learning)
Data security and privacy in outsourcing and distributed contexts (e.g. Cloud, IoT, Fog/edge computing)

Target

  • Companies and public administrations
  • employees and professionals involved in data processing, whether in IT, administration, management or other roles

Course structure

Module 1 - DATA SECURITY E PRIVACY
12 hours

•Concepts of privacy and anonymity
•Issues relating to data protection
•Regulatory aspects and relevant standards
•Requirements
•Policies
•Introduction to technical measures such as anonymisation and pseudonymisation 

Module 2 - IN-DEPTH APPROACH TO SECURITY TECHNIQUES AND METRICS
16 hours

•k-anonymity
•l-diversity
•Differential privacy

Module 3 – DATA PROTECTION IN EMERGING SCENARIOS
12 hours
  • Risk analysis in scenarios such as AI, Smart Cities and the Cloud
  • In-depth analysis of privacy in AI contexts (e.g. machine learning)
  • Data security and privacy in outsourcing and distributed environments (e.g. the Cloud, IoT, fog/edge computing)
WORKSHOP
16 hours
  • Practical exercises designed to analyse examples and case studies relating to the application of the concepts developed to assess privacy risks and the implementation of data protection measures and techniques
  • AI and data security
  • Cloud/Fog/Edge Computing

Privacy and security in data sharing and management in emerging scenarios

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