Speaker Dr. Rijad Alisic
(the Division of Decision and Control Systems at KTH Royal Institute of Technology, Sweden)
Date｜Time Nov 20 (Wed), 2024｜13:30-14:30
Place Room 316-1, Building 133
Zoom: https://seoultech.zoom.us/j/82455249690
ID: 824 5524 9690
Abstract
In this talk, we will discuss the increasing threats of cyberattacks on Cyber-Physical Systems (CPS) and their potential to devastate our economy, security, and public health. These attacks exploit vulnerabilities in the cyber components of our critical infrastructures, such as sensors and computers, which oversee and control physical processes. Our focus will be on modeling attackers from a defender’s perspective. We propose a novel approach to frame a learning attacker, considering the capabilities it can acquire from the system-generated information, as opposed to a specific attacker with an a priori assumed objective. This approach unveils various aspects of an attacker’s learning process and is agnostic about its goals, providing valuable insights for risk analysis. Among these, the privacy of the system emerges as a crucial factor. We will present several findings on how our analysis can be used to comprehend an attacker’s strategies to bypass defensive schemes, such as homomorphic encryption. These insights will shed light on the attacker’s learning process and provide guidance on how to fortify our systems against such threats.
Biography
Rijad Alisic is a Postdoctoral Scholar in Electrical Engineering from KTH Royal Institute of Technology in Stockholm, where he works on privacy, security, forensics, and control of cyber-physical systems. He defended his Ph.D. thesis on the Defense of Cyber-Physical Systems Against Learning-based Attackers in 2023. He also defended his Licentiate thesis on the Privacy of Sudden Events in Cyber-Physical Systems in 2021. In 2022, he was a visiting researcher at The University of Melbourne. He received his M.Sc. degree in Engineering Physics from Lund University in 2018, with a specialization in Automatic Control. His M.Sc. thesis was on the Control of Next-generation District Heating Systems. In 2017, he participated in the Summer Undergraduate Research Fellowship (SURF) program at California Institute of Technology.
