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Duc C. Le
Duc C. Le
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Title
Cited by
Cited by
Year
Analyzing Data Granularity Levels for Insider Threat Detection using Machine Learning
DC Le, N Zincir-Heywood, MI Heywood
IEEE Transactions on Network and Service Management 17 (1), 30-44, 2020
1442020
Exploring Feature Normalization and Temporal Information for Machine Learning Based Insider Threat Detection
P Ferreira, DC Le, N Zincir-Heywood
International Conference on Network and Service Management, 2019
912019
Anomaly detection for insider threats using unsupervised ensembles
DC Le, N Zincir-Heywood
IEEE Transactions on Network and Service Management 18 (2), 1152-1164, 2021
852021
Evaluating insider threat detection workflow using supervised and unsupervised learning
DC Le, AN Zincir-Heywood
2018 IEEE Security and Privacy Workshops (SPW), 270-275, 2018
752018
Machine learning based insider threat modelling and detection
DC Le, AN Zincir-Heywood
2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 1-6, 2019
682019
Exploring anomalous behaviour detection and classification for insider threat identification
DC Le, N Zincir‐Heywood
International Journal of Network Management, 2020
552020
Data analytics on network traffic flows for botnet behaviour detection
DC Le, AN Zincir-Heywood, MI Heywood
2016 IEEE symposium series on computational intelligence (SSCI), 1-7, 2016
532016
On the effectiveness of different botnet detection approaches
F Haddadi, D Le Cong, L Porter, AN Zincir-Heywood
Information Security Practice and Experience: 11th International Conference …, 2015
452015
Benchmarking evolutionary computation approaches to insider threat detection
DC Le, S Khanchi, AN Zincir-Heywood, MI Heywood
Proceedings of the genetic and evolutionary computation conference, 1286-1293, 2018
372018
A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management
DC Le, N Zincir-Heywood
Journal of Network and Systems Management, 1-23, 2020
262020
Training regime influences to semi-supervised learning for insider threat detection
DC Le, N Zincir-Heywood, M Heywood
2021 IEEE Security and Privacy Workshops (SPW), 13-18, 2021
22*2021
Exploring adversarial properties of insider threat detection
DC Le, N Zincir-Heywood
2020 IEEE Conference on Communications and Network Security (CNS), 1-9, 2020
182020
Unsupervised monitoring of network and service behaviour using self organizing maps
DC Le, N Zincir-Heywood, MI Heywood
Journal of Cyber Security and Mobility, 15-52, 2019
172019
Dynamic Insider Threat Detection Based on Adaptable Genetic Programming
DC Le, AN Zincir-Heywood, MI Heywood
IEEE Symposium Series on Computational Intelligence, 2019
102019
Big Data in Network Anomaly Detection
DC Le, AN Zincir-Heywood
Encyclopedia of Big Data Technologies, 2019
52019
Benchmarking genetic programming in dynamic insider threat detection
DC Le, MI Heywood, N Zincir-Heywood
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
22019
Learning From Evolving Network Data for Dependable Botnet Detection
DC Le, N Zincir-Heywood
International Conference on Network and Service Management, 2019
22019
A contribution to performance analysis approach of the IEEE 802.11 EDCA in wireless multi-hop networks
MT Hoang, M Hoang, DC Le
VNU Journal of Science: Computer Science and Communication Engineering 31 (1), 2015
22015
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