Seminar Details
2026-03-24 (11:00) : 2 INGI seminars in one
At Shannon (Maxwell - a.105)
Organized by Computer Science and Engineering
Speakers :
Martin Henze (RWTH Aachen University)
,
and
Anna Maria Mandalari (University College London)
Abstract :
"Strengthening the IoT Ecosystem: Privacy Preserving IoT Security Management"
by Anna Maria Mandalari (University College London)
Abstract:
As the Internet of Things (IoT) continues to proliferate in our daily lives, concerns about the potential intrusion into our privacy and data security have become more prevalent. This talk aims at fostering an IoT ecosystem that prioritizes user privacy, security, efficiency, and reliability. In an age where smart city initiatives and connected homes are becoming the norm, it is crucial to address the growing challenges associated with IoT devices. This talk will explore strategies and solutions for establishing an IoT environment that places user interests at the forefront. The discussion will encompass cutting-edge approaches to safeguarding data, preserving privacy, and enhancing security in IoT networks, offering a vision of a future where our connected world is safer, more efficient, and truly user-centered.
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"Generalizable and Comprehensible Intrusion Detection for Industrial Control Systems"
by Martin Henze (RWTH Aachen University)
Abstract:
Securing industrial control systems against cyberattacks is crucial to
counter imminent threats to critical infrastructure. Intrusion detection
provides an easily retrofittable approach to timely uncover attacks
before they can cause substantial damage. However, research on intrusion
detection for industrial control systems suffers from the use of complex
approaches hindering the interpretability of alarms as well as
non-expressive evaluations, often bound to one system with unknown
generalizable to other deployments. This talk presents our research
platform for deployment-independent intrusion detection as well as
approaches towards comprehensible alarms, thus making research
advancements in intrusion detection more accessible to industrial
control system deployments.