Skip to main content

Vasilis Ieropoulos

Research student, School of Computer Science and Informatics

Overview

I am a research student in cybersecurity at the School of Computer Science & Informatics. My research interests revolve around the security of embedded devices, radio frequency and Internet of Things devices. More specifically, I research how machine learning methods can be used to defend such systems or how out of the box solutions can be used to attack these kinds of devices. In addition, my research focuses on how embedded resource constrained devices can be used collaboratively to defend against different kinds of malicious attacks.


Currently working on :



  • Enabling Federated Learning on resource constrained devices


Presented at :



Current amateur radio RF projects :



  1. LoRa-APRS enabled rocket tracker for long range , low energy hobby rocket position finding

  2. Fire detection and positional updates using NASA's VIIRS satellites on APRS

  3. TinyGS, Plane tracking, Weather satellite image receiver, Radio sonde tracker


Research

Teaching


  • Cybersecurity Operations

  • Penetration Testing and Malware analysis


Thesis

Machine learning threat detection for low complexity edge deployment: threats, risks and mitigations (with Toshiba)

Funding source

UKRI/Toshiba

Supervisors

alt

Dr Eirini Anthi

Lecturer in Cybersecurity

Pete Burnap

Professor Pete Burnap

Professor of Data Science & Cybersecurity