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Phil Legg
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 25
Top Topics
Intrusion Detection
News Events
Cyber Security
E Learning
Top Venues
CyberSA
CoRR
Comput. Secur.
Cyber Security
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Publications
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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)