674 citations · 2k across the 22 of their papers we have counts for
19 papers · 1 filter
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…
Securing the Electric Vehicle Charging Infrastructure
Roberto Metere, Myriam Neaimeh, Charles Morisset +3
Electric Vehicles (EVs) can help alleviate our reliance on fossil fuels for transport and electricity systems. However, charging millions of EV batteries requires management to pre…
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…
Review of Specific Features and Challenges in the Current Internet of Things Systems Impacting their Security and Reliability
Miroslav Bures, Matej Klima, Vaclav Rechtberger +3
The current development of the Internet of Things (IoT) technology poses significant challenges to researchers and industry practitioners. Among these challenges, security and reli…
A Review of Cyber-Ranges and Test-Beds: Current and Future Trends
Elochukwu Ukwandu, Mohamed Amine Ben Farah, Hanan Hindy +7
Cyber situational awareness has been proven to be of value in forming a comprehensive understanding of threats and vulnerabilities within organisations, as the degree of exposure i…
Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic
Harjinder Singh Lallie, Lynsay A. Shepherd, Jason R. C. Nurse +4
The COVID-19 pandemic was a remarkable unprecedented event which altered the lives of billions of citizens globally resulting in what became commonly referred to as the new-normal…
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…
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning
Hanan Hindy, David Brosset, Ethan Bayne +2
Network Control Systems (NAC) have been used in many industrial processes. They aim to reduce the human factor burden and efficiently handle the complex process and communication o…
Mayall: A Framework for Desktop JavaScript Auditing and Post-Exploitation Analysis
Adam Rapley, Xavier Bellekens, Lynsay A. Shepherd +1
Writing desktop applications in JavaScript offers developers the opportunity to write cross-platform applications with cutting edge capabilities. However in doing so, they are pote…
A Taxonomy of Malicious Traffic for Intrusion Detection Systems
Hanan Hindy, Elike Hodo, Ethan Bayne +3
With the increasing number of network threats it is essential to have a knowledge of existing and new network threats in order to design better intrusion detection systems. In this…
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…
Deep Learning Based Cryptographic Primitive Classification
Gregory D. Hill, Xavier J. A. Bellekens
Cryptovirological augmentations present an immediate, incomparable threat. Over the last decade, the substantial proliferation of crypto-ransomware has had widespread consequences…
Machine Learning Approach for Detection of nonTor Traffic
Elike Hodo, Xavier Bellekens, Ephraim Iorkyase +3
Intrusion detection has attracted a considerable interest from researchers and industries. After many years of research the community still faces the problem of building reliable a…
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…