444 citations · 1.3k across the 20 of their papers we have counts for
21 papers
Few-Shot Network Intrusion Detection Using Online Triplet Mining
Jack Wilkie, Hanan Hindy, Christos Tachtatzis +2
Network intrusion detection systems play a vital role in protecting networks by detecting malicious network traffic which can then be investigated by a cybersecurity operations cen…
Contrastive Self-Supervised Network Intrusion Detection using Augmented Negative Pairs
Jack Wilkie, Hanan Hindy, Christos Tachtatzis +1
Network intrusion detection remains a critical challenge in cybersecurity. While supervised machine learning models achieve state-of-the-art performance, their reliance on large la…
On Models and Approaches for Human Vital Signs Extraction from Short Range Radar Signals
Mikolaj Czerkawski, Christos Ilioudis, Carmine Clemente +3
The paper centres on an assessment of the modelling approaches for the processing of signals in CW and FMCW radar-based systems for the detection of vital signs. It is shown that t…
Neural Weight Step Video Compression
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson +4
A variety of compression methods based on encoding images as weights of a neural network have been recently proposed. Yet, the potential of similar approaches for video compression…
Neural Knitworks: Patched Neural Implicit Representation Networks
Mikolaj Czerkawski, Javier Cardona, Robert Atkinson +4
Coordinate-based Multilayer Perceptron (MLP) networks, despite being capable of learning neural implicit representations, are not performant for internal image synthesis applicatio…
Cyber-Security Challenges in Aviation Industry: A Review of Current and Future Trends
Elochukwu Ukwandu, Mohamed Amine Ben Farah, Hanan Hindy +4
The integration of Information and Communication Technology (ICT) tools into mechanical devices found in aviation industry has raised security concerns. The more integrated the sys…
Utilising Flow Aggregation to Classify Benign Imitating Attacks
Hanan Hindy, Robert Atkinson, Christos Tachtatzis +3
Cyber-attacks continue to grow, both in terms of volume and sophistication. This is aided by an increase in available computational power, expanding attack surfaces, and advancemen…
Utilising Deep Learning Techniques for Effective Zero-Day Attack Detection
Hanan Hindy, Robert Atkinson, Christos Tachtatzis +3
Machine Learning (ML) and Deep Learning (DL) have been used for building Intrusion Detection Systems (IDS). The increase in both the number and sheer variety of new cyber-attacks p…
Leveraging Siamese Networks for One-Shot Intrusion Detection Model
Hanan Hindy, Christos Tachtatzis, Robert Atkinson +5
The use of supervised Machine Learning (ML) to enhance Intrusion Detection Systems has been the subject of significant research. Supervised ML is based upon learning by example, de…
Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study (MQTT-IoT-IDS2020 Dataset)
Hanan Hindy, Ethan Bayne, Miroslav Bures +3
The Internet of Things (IoT) is one of the main research fields in the Cybersecurity domain. This is due to (a) the increased dependency on automated device, and (b) the inadequacy…
A Security Perspective on Unikernels
Joshua Talbot, Przemek Pikula, Craig Sweetmore +5
Cloud-based infrastructures have grown in popularity over the last decade leveraging virtualisation, server, storage, compute power and network components to develop flexible appli…
Cyber-Security Internals of a Skoda Octavia vRS: A Hands on Approach
Colin Urquhart, Xavier Bellekens, Christos Tachtatzis +3
The convergence of information technology and vehicular technologies are a growing paradigm, allowing information to be sent by and to vehicles. This information can further be pro…
From Cyber-Security Deception To Manipulation and Gratification Through Gamification
Xavier Bellekens, Gayan Jayasekara, Hanan Hindy +4
With the ever growing networking capabilities and services offered to users, attack surfaces have been increasing exponentially, additionally, the intricacy of network architecture…
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems
Hanan Hindy, David Brosset, Ethan Bayne +4
As the world moves towards being increasingly dependent on computers and automation, building secure applications, systems and networks are some of the main challenges faced in the…
Threat analysis of IoT networks Using Artificial Neural Network Intrusion Detection System
Elike Hodo, Xavier Bellekens, Andrew Hamilton +4
The Internet of things (IoT) is still in its infancy and has attracted much interest in many industrial sectors including medical fields, logistics tracking, smart cities and autom…
GLoP: Enabling Massively Parallel Incident Response Through GPU Log Processing
Xavier Bellekens, Christos Tachtatzis, Robert Atkinson +2
Large industrial systems that combine services and applications, have become targets for cyber criminals and are challenging from the security, monitoring and auditing perspectives…
A Highly-Efficient Memory-Compression Scheme for GPU-Accelerated Intrusion Detection Systems
Xavier Bellekens, Christos Tachtatzis, Robert Atkinson +2
Pattern Matching is a computationally intensive task used in many research fields and real world applications. Due to the ever-growing volume of data to be processed, and increasin…
Monitoring crystal breakage in wet milling processes using inline imaging and chord length distribution measurements
Okpeafoh S. Agimelen, Vaclav Svoboda, Bilal Ahmed +11
The success of the various secondary operations involved in the production of particulate products depends on the production of particles with a desired size and shape from a previ…
Trie Compression for GPU Accelerated Multi-Pattern Matching
Xavier Bellekens, Amar Seeam, Christos Tachtatzis +1
Graphics Processing Units allow for running massively parallel applications offloading the CPU from computationally intensive resources, however GPUs have a limited amount of memor…
Shallow and Deep Networks Intrusion Detection System: A Taxonomy and Survey
Elike Hodo, Xavier Bellekens, Andrew Hamilton +2
Intrusion detection has attracted a considerable interest from researchers and industries. The community, after many years of research, still faces the problem of building reliable…
Integration of in situ Imaging and Chord Length Distribution Measurements for Estimation of Particle Size and Shape
Okpeafoh S. Agimelen, Anna Jawor-Baczynska, John McGinty +5
Efficient processing of particulate products across various manufacturing steps requires that particles possess desired attributes such as size and shape. Controlling the particle…