Vasilis Ieropoulos
I am currently in the third year of my PhD program at Cardiff University, specialising in Cybersecurity. My research focuses on Machine Learning threat detection for resource-constrained devices, aiming to secure the rapidly expanding Internet of Things (IoT) landscape.
In addition to my academic pursuits, I am an active ham radio operator with the callsign 5B4ANU. This hobby allows me to connect with a global community of enthusiasts and reflects my passion for technology and communication.
I am also deeply committed to the open-source community. I have contributed to various projects, not only through code but also by translating project documentation. This has allowed me to help break down language barriers and make these projects accessible to a wider audience.
Session
Security remains a paramount concern in the rapidly evolving Internet of Things landscape. Traditional Intrusion Detection Systems often fall short in the face of unique challenges posed by IoT networks, such as resource constraints and device heterogeneity. By creating an IDS which lives on the microcontroller it allows it to have autonomy over its security without relying on external devices. We have a look at the challenges of implementing this solution on the device and how it performs compared to traditional solutions.