ARC@ORU Seminars on Cybersecurity

Venue: ARC, Örebro University

Remote participation: Join by this Zoom link

Registration: Please register by the form below.

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About the seminar

This seminar holds two talks on Cybersecurity. You are welcome to join one or both talks. 

TALK 1

Cybersecurity in the Age of Artificial Intelligence

In an era in which Artificial Intelligence changes everything around us, cybersecurity, on which the robust development of societies and their infrastructure depends on, is increasingly in dispute. How Artificial Intelligence has transformed the threat landscape and there is a rapid increase in the frequency, intensity and risk of cyberattacks on services and infrastructure? Can Artificial Intelligence, on the other hand, provide improved cybersecurity capabilities to more effectively address the new threats or does its use expand the range of threats that we must counter today?

Speaker

Professor Panagiotis Katsaros, Aristotle University of Thessaloniki, Greece.

TALK 2

Quantum-Enhanced Vigilance: Machine Learning for Anomaly Detection in the NISQ Era

Quantum Machine Learning (QML) introduces superposition, entanglement, and high-dimensional Hilbert spaces into the field of pattern recognition, offering a fundamentally different computational substrate for identifying irregularities. Anomaly detection algorithms, long recognized for their critical role in cybersecurity, finance, and system health monitoring, can now be re-envisioned within this quantum-inspired paradigm.

In this talk, we first outline the theoretical foundations of quantum anomaly detection, examining its algorithmic motivations, taxonomy, and inherent trade-offs between classical and quantum approaches. We then present two QML frameworks—focusing on quantum variational circuits and quantum kernel methods—that illustrate how deviations in complex data structures can be isolated through quantum states. Finally, we explore practical applications using open-source quantum software development kits, demonstrating how to design, execute, and analyze quantum anomaly detection experiments on Noisy Intermediate-Scale Quantum (NISQ) processors.

Overall, the presentation highlights how quantum computation can drive a new generation of machine learning–based security and diagnostic methods, paving the way for impactful applications in cryptography, industrial IoT, and real-time fraud detection.

Speaker

Associate Professor Christian Esposito, University of Salerno, Italy.