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Philip A. Legg
Person information
- affiliation: University of the West of England, Bristol, Department of Computer Science
- affiliation: University of Oxford, Department of Computer Science
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2020 – today
- 2024
- [j28]Sadegh Bamohabbat Chafjiri
, Phil Legg
Vulnerability detection through machine learning-based fuzzing: A systematic review. Comput. Secur. 143: 103903 (2024) - [j27]Alan Mills
GoibhniUWE: A Lightweight and Modular Container-Based Cyber Range. J. Cybersecur. Priv. 4(3): 615-628 (2024) - [c25]James Barrett
Analyst-Driven XAI for Time Series Forecasting: Analytics for Telecoms Maintenance. ICMLT 2024: 30-35 - [c24]Alan Mills
Cyber Funfair: Creating Immersive and Educational Experiences for Teaching Cyber Physical Systems Security. SIGCSE (1) 2024: 847-852 - [i3]Shakil Ibne Ahsan, Phil Legg
Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT. CoRR abs/2401.07343 (2024) - 2023
- [j26]Alan Mills
Longitudinal risk-based security assessment of docker software container images. Comput. Secur. 135: 103478 (2023) - [j25]Andrew McCarthy
Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification. J. Inf. Secur. Appl. 72: 103398 (2023) - [i2]Shakil Ibne Ahsan
A stacked ensemble learning IDS model for Software-defined VANET. CoRR abs/2312.04956 (2023) - 2022
- [j24]Andrew McCarthy
Functionality-Preserving Adversarial Machine Learning for Robust Classification in Cybersecurity and Intrusion Detection Domains: A Survey. J. Cybersecur. Priv. 2(1): 154-190 (2022) - [j23]Jacob Williams
Investigating Malware Propagation and Behaviour Using System and Network Pixel-Based Visualisation. SN Comput. Sci. 3(1): 53 (2022) - [c23]Alan Mills, Jonathan White
OGMA: Visualisation for Software Container Security Analysis and Automated Remediation. CSR 2022: 76-81 - 2021
- [j22]Yawei Yue, Shancang Li
Deep Learning-Based Security Behaviour Analysis in IoT Environments: A Survey. Secur. Commun. Networks 2021: 8873195:1-8873195:13 (2021) - [c22]Phil Legg
"Hacking an IoT Home": New opportunities for cyber security education combining remote learning with cyber-physical systems. CyberSA 2021: 1-4 - [c21]Andrew McCarthy
Feature Vulnerability and Robustness Assessment against Adversarial Machine Learning Attacks. CyberSA 2021: 1-8 - [c20]Jonathan White
Unsupervised One-Class Learning for Anomaly Detection on Home IoT Network Devices. CyberSA 2021: 1-8 - 2020
- [j21]Alan Mills
Investigating Anti-Evasion Malware Triggers Using Automated Sandbox Reconfiguration Techniques. J. Cybersecur. Priv. 1(1): 19-39 (2020) - [j20]Shuai Xu
Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks. IEEE Syst. J. 14(2): 1740-1751 (2020) - [c19]Fiona Carroll
The Visual Design of Network Data to Enhance Cyber Security Awareness of the Everyday Internet User. CyberSA 2020: 1-7 - [c18]Andrew McCarthy
Shouting Through Letterboxes: A study on attack susceptibility of voice assistants. Cyber Security 2020: 1-8 - [c17]Gwyn Wilkinson, Phil Legg
"What did you say?": Extracting unintentional secrets from predictive text learning systems. Cyber Security 2020: 1-8
2010 – 2019
- 2019
- [j19]Phil Legg
Visual analytics for collaborative human-machine confidence in human-centric active learning tasks. Hum. centric Comput. Inf. Sci. 9: 5 (2019) - [j18]Phil Legg
Correction to: Visual analytics for collaborative human-machine confidence in human-centric active learning tasks. Hum. centric Comput. Inf. Sci. 9: 11 (2019) - [c16]Fiona Carroll
What Makes for Effective Visualisation in Cyber Situational Awareness for Non-Expert Users? CyberSA 2019: 1-8 - [c15]Phil Legg
Tools and Techniques for Improving Cyber Situational Awareness of Targeted Phishing Attacks. CyberSA 2019: 1-4 - [c14]Alan Mills
Efficient and Interpretable Real-Time Malware Detection Using Random-Forest. CyberSA 2019: 1-8 - 2018
- [j17]Jim Smith
Predicting User Confidence During Visual Decision Making. ACM Trans. Interact. Intell. Syst. 8(2): 10:1-10:30 (2018) - 2017
- [j16]Philip A. Legg
Glyph Visualization: A Fail-Safe Design Scheme Based on Quasi-Hamming Distances. IEEE Computer Graphics and Applications 37(2): 31-41 (2017) - [j15]Philip A. Legg
Automated Insider Threat Detection System Using User and Role-Based Profile Assessment. IEEE Syst. J. 11(2): 503-512 (2017) - [c13]Arnau Erola, Ioannis Agrafiotis, Jassim Happa, Michael Goldsmith, Sadie Creese, Philip A. Legg
RicherPicture: Semi-automated cyber defence using context-aware data analytics. CyberSA 2017: 1-8 - [c12]Emmanuel M. Smith
Predicting the Occurrence of World News Events Using Recurrent Neural Networks and Auto-Regressive Moving Average Models. UKCI 2017: 191-202 - 2016
- [j14]David H. S. Chung, Matthew L. Parry, Iwan W. Griffiths, Robert S. Laramee
Knowledge-Assisted Ranking: A Visual Analytic Application for Sports Event Data. IEEE Computer Graphics and Applications 36(3): 72-82 (2016) - [j13]Philip A. Legg:
Visual Analytics for Non-Expert Users in Cyber Situation Awareness. Int. J. Cyber Situational Aware. 1(1): 54-73 (2016) - [c11]Philip A. Legg
Enhancing cyber situation awareness for Non-Expert Users using visual analytics. CyberSA 2016: 1-8 - 2015
- [j12]David H. S. Chung, Philip A. Legg
Glyph sorting: Interactive visualization for multi-dimensional data. Inf. Vis. 14(1): 76-90 (2015) - [j11]Philip A. Legg
Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging. Pattern Recognit. 48(6): 1937-1946 (2015) - [c10]Bushra A. AlAhmadi, Philip A. Legg
Using Internet Activity Profiling for Insider-threat Detection. ICEIS (2) 2015: 709-720 - [c9]Philip A. Legg
Visualizing the insider threat: challenges and tools for identifying malicious user activity. VizSEC 2015: 1-7 - 2014
- [j10]Philip A. Legg, Oliver Buckley, Michael Goldsmith, Sadie Creese:
Visual Analytics of E-mail Sociolinguistics for User Behavioural Analysis. J. Internet Serv. Inf. Secur. 4(4): 1-13 (2014) - [j9]Ioannis Agrafiotis, Philip A. Legg, Michael Goldsmith, Sadie Creese:
Towards a User and Role-based Sequential Behavioural Analysis Tool for Insider Threat Detection. J. Internet Serv. Inf. Secur. 4(4): 127-137 (2014) - [j8]William R. Claycomb, Philip A. Legg, Dieter Gollmann:
Guest Editorial: Emerging Trends in Research for Insider Threat Detection. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 5(2): 1-6 (2014) - [c8]Jason R. C. Nurse, Philip A. Legg
A Critical Reflection on the Threat from Human Insiders - Its Nature, Industry Perceptions, and Detection Approaches. HCI (24) 2014: 270-281 - [c7]Jason R. C. Nurse, Oliver Buckley, Philip A. Legg
Understanding Insider Threat: A Framework for Characterising Attacks. IEEE Symposium on Security and Privacy Workshops 2014: 214-228 - [c6]Oliver Buckley
Reflecting on the Ability of Enterprise Security Policy to Address Accidental Insider Threat. STAST 2014: 8-15 - 2013
- [j7]Philip A. Legg
Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation. Comput. Medical Imaging Graph. 37(7-8): 597-606 (2013) - [j6]Philip A. Legg, Nick Moffat, Jason R. C. Nurse, Jassim Happa, Ioannis Agrafiotis, Michael Goldsmith, Sadie Creese:
Towards a Conceptual Model and Reasoning Structure for Insider Threat Detection. J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl. 4(4): 20-37 (2013) - [j5]Richard Jiang
Automated 3-D Animation From Snooker Videos With Information-Theoretical Optimization. IEEE Trans. Comput. Intell. AI Games 5(4): 337-345 (2013) - [j4]Philip A. Legg
Transformation of an Uncertain Video Search Pipeline to a Sketch-Based Visual Analytics Loop. IEEE Trans. Vis. Comput. Graph. 19(12): 2109-2118 (2013) - [c5]Rita Borgo, Min Chen, Markus Höferlin, Kuno Kurzhals, Philip A. Legg, Simon J. Walton
Video Visualization. Eurographics (Tutorials) 2013 - [c4]Rick Walker, Philip A. Legg
Force-Directed Parallel Coordinates. IV 2013: 36-44 - [i1]David H. S. Chung, Philip A. Legg, Matthew L. Parry, Rhodri Bown, Iwan W. Griffiths, Robert S. Laramee, Min Chen:
Glyph Sorting: Interactive Visualization for Multi-dimensional Data. CoRR abs/1304.2889 (2013) - 2012
- [j3]Philip A. Legg
MatchPad: Interactive Glyph-Based Visualization for Real-Time Sports Performance Analysis. Comput. Graph. Forum 31(3pt4): 1255-1264 (2012) - [j2]David H. S. Chung, Matthew L. Parry, Philip A. Legg
Visualizing multiple error-sensitivity fields for single camera positioning. Comput. Vis. Sci. 15(6): 303-317 (2012) - 2011
- [j1]Matthew L. Parry, Philip A. Legg
Hierarchical Event Selection for Video Storyboards with a Case Study on Snooker Video Visualization. IEEE Trans. Vis. Comput. Graph. 17(12): 1747-1756 (2011) - [c3]Philip A. Legg, Matthew L. Parry, David H. S. Chung, Richard M. Jiang, Adrian Morris, Iwan W. Griffiths, A. David Marshall, Min Chen:
From Video to Animated 3D Reconstruction: A Computer Graphics Application for Snooker Skills Training. Eurographics (Posters) 2011: 39-40 - [c2]Philip A. Legg
Intelligent filtering by semantic importance for single-view 3D reconstruction from Snooker video. ICIP 2011: 2385-2388
2000 – 2009
- 2009
- [c1]Philip A. Legg
A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives. MICCAI (1) 2009: 616-623
Coauthor Index
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last updated on 2024-11-04 20:45 CET by the dblp team
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