Phil Legg

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Intrusion Detection

Top Venues

Publications

Alan Mills, Jonathan White, Phil Legg
Cyber Funfair: Creating Immersive and Educational Experiences for Teaching Cyber Physical Systems Security. SIGCSE (1) (2024)
Sadegh Bamohabbat Chafjiri, Phil Legg, Jun Hong, Michail-Antisthenis I. Tsompanas
Vulnerability detection through machine learning-based fuzzing: A systematic review. Comput. Secur. 143 (2024)
Shakil Ibne Ahsan, Phil Legg, S. M. Iftekharul Alam
Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT. CoRR (2024)
Alan Mills, Jonathan White, Phil Legg
Longitudinal risk-based security assessment of docker software container images. Comput. Secur. 135 (2023)
Shakil Ibne Ahsan, Phil Legg, S. M. Iftekharul Alam
A stacked ensemble learning IDS model for Software-defined VANET. CoRR (2023)
Andrew McCarthy, Essam Ghadafi, Panagiotis Andriotis, Phil Legg
Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification. J. Inf. Secur. Appl. 72 (2023)
Jacob Williams, Phil Legg
Investigating Malware Propagation and Behaviour Using System and Network Pixel-Based Visualisation. SN Comput. Sci. 3 (1) (2022)
Alan Mills, Jonathan White, Phil Legg
OGMA: Visualisation for Software Container Security Analysis and Automated Remediation. CSR (2022)
Andrew McCarthy, Essam Ghadafi, Panagiotis Andriotis, Phil Legg
Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey. J. Cybersecur. Priv. 2 (1) (2022)
Yawei Yue, Shancang Li, Phil Legg, Fuzhong Li
Deep Learning-Based Security Behaviour Analysis in IoT Environments: A Survey. Secur. Commun. Networks 2021 (2021)
Phil Legg, Thomas Higgs, Pennie Spruhan, Jonathan White, Ian Johnson
"Hacking an IoT Home": New opportunities for cyber security education combining remote learning with cyber-physical systems. CyberSA (2021)
Andrew McCarthy, Panagiotis Andriotis, Essam Ghadafi, Phil Legg
Feature Vulnerability and Robustness Assessment against Adversarial Machine Learning Attacks. CyberSA (2021)
Jonathan White, Phil Legg
Unsupervised One-Class Learning for Anomaly Detection on Home IoT Network Devices. CyberSA (2021)
Shuai Xu, Jiuxin Cao, Phil Legg, Bo Liu, Shancang Li
Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks. IEEE Syst. J. 14 (2) (2020)
Alan Mills, Phil Legg
Investigating Anti-Evasion Malware Triggers Using Automated Sandbox Reconfiguration Techniques. J. Cybersecur. Priv. 1 (1) (2020)
Gwyn Wilkinson, Phil Legg
"What did you say?": Extracting unintentional secrets from predictive text learning systems. Cyber Security (2020)
Andrew McCarthy, Benedict R. Gaster, Phil Legg
Shouting Through Letterboxes: A study on attack susceptibility of voice assistants. Cyber Security (2020)
Fiona Carroll, Phil Legg, Bastian Bønkel
The Visual Design of Network Data to Enhance Cyber Security Awareness of the Everyday Internet User. CyberSA (2020)
Phil Legg, Jim Smith, Alexander Downing
Correction to: Visual analytics for collaborative human-machine confidence in human-centric active learning tasks. Hum. centric Comput. Inf. Sci. 9 (2019)
Phil Legg, Jim Smith, Alexander Downing
Visual analytics for collaborative human-machine confidence in human-centric active learning tasks. Hum. centric Comput. Inf. Sci. 9 (2019)
Fiona Carroll, Adam Chakof, Phil Legg
What Makes for Effective Visualisation in Cyber Situational Awareness for Non-Expert Users? CyberSA (2019)
Phil Legg, Tim Blackman
Tools and Techniques for Improving Cyber Situational Awareness of Targeted Phishing Attacks. CyberSA (2019)
Alan Mills, Theodoros Spyridopoulos, Phil Legg
Efficient and Interpretable Real-Time Malware Detection Using Random-Forest. CyberSA (2019)
Jim Smith, Phil Legg, Milos Matovic, Kristofer Kinsey
Predicting User Confidence During Visual Decision Making. ACM Trans. Interact. Intell. Syst. 8 (2) (2018)
Emmanuel M. Smith, Jim Smith, Phil Legg, Simon Francis
Predicting the Occurrence of World News Events Using Recurrent Neural Networks and Auto-Regressive Moving Average Models. UKCI (2017)