275 citations · 603 across the 15 of their papers we have counts for
16 papers · 1 filter
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…
A Novel Contrastive Loss for Zero-Day Network Intrusion Detection
Jack Wilkie, Hanan Hindy, Craig Michie +3
Machine learning has achieved state-of-the-art results in network intrusion detection; however, its performance significantly degrades when confronted by a new attack class -- a ze…
Signal-Based Malware Classification Using 1D CNNs
Jack Wilkie, Hanan Hindy, Ivan Andonovic +2
Malware classification is a contemporary and ongoing challenge in cyber-security: modern obfuscation techniques are able to evade traditional static analysis, while dynamic analysi…
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…
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…
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…
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…