AI and Emerging Topics in Cybersecurity

Explore AI’s impact on cybersecurity, from threat detection to ethical considerations.

Key Details

This module is delivered in hybrid format, as a combination of online, in-person and self-learning activities. The module uses innovative hybrid learning methods that combine live (synchronous) and self-paced (asynchronous) activities, with particular focus on practical activities and real-world scenarios connected to cybersecurity. Expert tutors guide students through the material, ensuring a comprehensive learning experience.

Toward this goal, the module employs periodic quizzes, oral presentations and team projects.

Time commitment:
– Online activities: 14 hours
– In-person activities: 14 hours
– Self-learning: 28 hours
– Individual, team and guided projects and activities: 94 hours
– Total: 150 hours

Credit points:
– 6 ECTS

Grading:
– Lecture quizzes: 10%
– Team project: 30%
– Oral Presentation: 20%
– Exam: 40% (oral, written)

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Subjects covered

• Security Operations & Cybersecurity Foundations
• Data Science/Engineering Foundations
• Rise of AI – Generative Models & LLMs
• AI-powered Cyber Attack (Part 1)
• AI-powered Cyber Defense (Part 1)
• AI-powered Cyber Attack/Defense (Part 2)
• Security Concerns in AI-driven Cybersecurity
• Reliability in AI-driven Cybersecurity
• Responsible AI-driven Cybersecurity
• Future Trends in AI & Cybersecurity
• Wrap-up

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Learning objectives

Identify security issues associated with AI models, such as vulnerabilities, weaknesses, and adversarial threats.

Performs research and specify emerging trends in AI and cybersecurity.

Designs and develops AI-driven solutions for real-world cybersecurity challenges, demonstrating proficiency in both offensive and defensive applications.

Critically evaluates the strengths, and limitations of AI applications in cyberdefense.

Identifies the potential misuse of AI by adversaries to automate and enhance TTPs

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Module leaders

Radu Marin is an Assistant Professor at the National University of Science and Technology POLITEHNICA Bucharest, within the Computer Science and Engineering Department. Having earned his PhD in 2021 with his thesis on opportunistic computing, Radu’s research interests are centered around mobile computing, mobile security, decentralized systems and designing secure decentralized applications. Recently, he has shifted his focus towards the utilization of AI in cybersecurity, as well as in fighting against disinformation. Passionate about teaching, mentoring and coaching, Radu has been actively involved in guiding both students in starting their tech careers, and engineers throughout their career paths. In addition to his research, Radu also contributes to extracurricular activities, such as summer schools and hackathons, centered around modern and secure mobile application development, the integration of AI into mobile systems, clean coding principles and defensive programming.

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