activity
20192026
most citedCybersecurity Challenges in the Offshore Oil and Gas Industry: An Industrial Cyber-Physical Systems (ICPS) Perspective

48 citations · 111 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CR2026

Empowering IoT Security: On-Device Intrusion Detection in Resource Constrained Devices

Vasilis Ieropoulos, Eirini Anthi, Theodoros Spyridopoulos +3

IoT devices particularly microcontrollers are challenged by their inherent limitations in processing capabilities, memory capacity, and energy conservation. Securing communication…

cs.CR2025

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research

Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi +3

In this paper, a dataset of IoT network traffic is presented. Our dataset was generated by utilising the Gotham testbed, an emulated large-scale Internet of Things (IoT) network de…

cs.CR2024

Using Harmonics for Low-Cost Jamming

Vasilis Ieropoulos, Eirini Anthi

The digitalisation of the modern schooling system has led to multiple schools and organisations buying similar hardware. Electronic equipment like wireless microphones, projectors,…

cs.CY2024★ 2 cited

A Scalable and Automated Framework for Tracking the likely Adoption of Emerging Technologies

Lowri Williams, Eirini Anthi, Pete Burnap

While new technologies are expected to revolutionise and become game-changers in improving the efficiencies and practises of our daily lives, it is also critical to investigate and…

cs.CL2024★ 12 cited

Topic Modelling: Going Beyond Token Outputs

Lowri Williams, Eirini Anthi, Laura Arman +1

Topic modelling is a text mining technique for identifying salient themes from a number of documents. The output is commonly a set of topics consisting of isolated tokens that ofte…

cs.CR2023★ 1 cited

Enhancing Enterprise Network Security: Comparing Machine-Level and Process-Level Analysis for Dynamic Malware Detection

Baskoro Adi Pratomo, Toby Jackson, Pete Burnap +2

Analysing malware is important to understand how malicious software works and to develop appropriate detection and prevention methods. Dynamic analysis can overcome evasion techniq…