Description
PRESENTATION
The course will cover aspects relating to the identification, retrieval of evidence sources in a correct manner, so that they can also be evaluated in civil or criminal proceedings, analysis and presentation of conclusions. Practical laboratory part, based on Open Source and freeware software. The course includes an overview of AI, machine learning, deep learning, genetic algorithms, applications in cybersecurity and digital forensics and the ethical issue of BIAS (bias) in the dataset
PURPOSE
The aim of the course is to provide a solid foundation for undertaking activities in the world of digital investigation, a subject that is constantly changing and evolving. During the course, participants will also learn how to find hidden files, recover deleted data and duplicate intact and non-repudiated information, also through the use of classroom tools and the analysis of real case studies. In addition, there will be an introduction to Artificial Intelligence and how it can be integrated into cybersecurity and digital forensics.
REQUIREMENTS
Knowledge of the Windows operating system, basics of Linux and networking, for the Legal part no specific requirements.