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ORCIDDuc C. Le
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- affiliation: Dalhousie University, Faculty of Computer Science, Halifax, Canada
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2020 – today
- 2021
[j5]Duc C. Le
, Nur Zincir-Heywood:
Exploring anomalous behaviour detection and classification for insider threat identification. Int. J. Netw. Manag. 31(4) (2021)- [j4]Duc C. Le, Nur Zincir-Heywood:
Anomaly Detection for Insider Threats Using Unsupervised Ensembles. IEEE Trans. Netw. Serv. Manag. 18(2): 1152-1164 (2021) - [c11]Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood:
Training regime influences to semi-supervised learning for insider threat detection. SP (Workshops) 2021: 13-18 - 2020
- [j3]Duc C. Le, Nur Zincir-Heywood:
A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management. J. Netw. Syst. Manag. 28(4): 827-849 (2020) - [j2]Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood:
Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning. IEEE Trans. Netw. Serv. Manag. 17(1): 30-44 (2020) - [c10]Duc C. Le, Nur Zincir-Heywood:
Exploring Adversarial Properties of Insider Threat Detection. CNS 2020: 1-9
2010 – 2019
- 2019
- [j1]Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood:
Unsupervised Monitoring of Networkand Service Behaviour Using SelfOrganizing Maps. J. Cyber Secur. Mobil. 8(1): 15-52 (2019) - [c9]Pedro Ferreira, Duc C. Le, Nur Zincir-Heywood:
Exploring Feature Normalization and Temporal Information for Machine Learning Based Insider Threat Detection. CNSM 2019: 1-7 - [c8]Duc C. Le, Nur Zincir-Heywood:
Learning From Evolving Network Data for Dependable Botnet Detection. CNSM 2019: 1-5 - [c7]Duc C. Le, Malcolm I. Heywood, Nur Zincir-Heywood:
Benchmarking genetic programming in dynamic insider threat detection. GECCO (Companion) 2019: 385-386 - [c6]Duc C. Le, Nur Zincir-Heywood:
Machine learning based Insider Threat Modelling and Detection. IM 2019: 1-6 - [c5]Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood:
Dynamic Insider Threat Detection Based on Adaptable Genetic Programming. SSCI 2019: 2579-2586 - [r1]Duc C. Le, Nur Zincir-Heywood:
Big Data in Network Anomaly Detection. Encyclopedia of Big Data Technologies 2019 - 2018
- [c4]Duc C. Le, Sara Khanchi, Nur Zincir-Heywood, Malcolm I. Heywood:
Benchmarking evolutionary computation approaches to insider threat detection. GECCO 2018: 1286-1293 - [c3]Duc C. Le, Nur Zincir-Heywood:
Evaluating Insider Threat Detection Workflow Using Supervised and Unsupervised Learning. IEEE Symposium on Security and Privacy Workshops 2018: 270-275 - 2016
- [c2]Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood:
Data analytics on network traffic flows for botnet behaviour detection. SSCI 2016: 1-7 - 2015
- [c1]Fariba Haddadi, Duc Le Cong, Laura Porter, Nur Zincir-Heywood:
On the Effectiveness of Different Botnet Detection Approaches. ISPEC 2015: 121-135
Coauthor Index
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