This training module explores the unique cybersecurity challenges and best practices associated with emerging technologies, equipping participants with the knowledge and skills needed to master explainable and robust AI approaches for healthcare.
- Docente: fabio martinelli
The "Cybersecurity in Emerging Technologies for Energy" course is an advanced training module designed for professionals in the energy sector, including engineers, administrators, technology managers, and cybersecurity specialists. It equips participants with essential knowledge and skills to address the unique cybersecurity challenges that arise with the integration of cutting-edge technologies such as the Internet of Things (IoT), cloud computing, blockchain, and Artificial Intelligence (AI) in energy systems. The course delves into a comprehensive examination of the cybersecurity landscape specific to these technologies, exploring detailed vulnerabilities, threat vectors, and the necessary security measures to safeguard energy infrastructures.
Microcredentials: 4
- Docente: Ruben Costa
The "Cybersecurity in Emerging Technologies for the Energy Network" seminar is designed to address the unique cybersecurity challenges posed by emerging technologies such as the Internet of Things (IoT), blockchain, and Artificial Intelligence (AI) within the energy sector. The seminar includes a well-structured curriculum that covers various aspects of cybersecurity in emerging energy technologies, from foundational concepts to specialized security tools and proactive security strategies. The topics discussed include the impact of emerging technologies on the cybersecurity landscape, the architecture of IoE and its vulnerabilities, securing blockchain platforms, and mitigating risks associated with AI.
Microcredentials: 3
- Docente: Ruben Costa
This training module aims to provide a comprehensive understanding of the role of machine learning techniques in identifying and mitigating cybersecurity threats. This training module will explore various machine learning algorithms and methodologies employed in anomaly detection, their applications, challenges, and future prospects in enhancing cybersecurity. This training module will delve into the application of machine learning techniques specifically tailored for the healthcare industry, focusing on the identification and prevention of anomalies that could compromise patient confidentiality, data integrity, and the overall functionality of healthcare systems.
Duration: 4h
Assignment time: 3h
Microcredentials: 1
- Docente: Danijela Boberic Krsticev
The "AI and Cybersecurity Research" for Maritime sector CSP training module is designed to equip trainees and professionals with the knowledge and skills needed to understand the role and significance of AI in cybersecurity. Specifically tailored for the maritime sector, this module covers topics that target all three main dimensions where AI and cybersecurity intersect: (i) AI for cybersecurity, (ii) malicious AI, and (iii) cybersecurity for AI.
- Docente: Nektaria Kaloudi
- Docente: Stylianos Karagiannis