Duc C. Le - RankMe

16 papers A 1B 3Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Anomaly Detection for Insider Threats Using Unsupervised Ensembles. IEEE Trans. Netw. Serv. Manag. Duc C. Le, Nur Zincir-Heywood
2021	J	`jnl`	Exploring anomalous behaviour detection and classification for insider threat identification. Int. J. Netw. Manag. Duc C. Le, Nur Zincir-Heywood
2021	—	`conf`	Training regime influences to semi-supervised learning for insider threat detection. SP (Workshops) Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood
2020	J	`jnl`	A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management. J. Netw. Syst. Manag. Duc C. Le, Nur Zincir-Heywood
2020	J	`jnl`	Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning. IEEE Trans. Netw. Serv. Manag. Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood
2020	—	`conf`	Exploring Adversarial Properties of Insider Threat Detection. CNS Duc C. Le, Nur Zincir-Heywood
2019	—	`conf`	Benchmarking genetic programming in dynamic insider threat detection. GECCO (Companion) Duc C. Le, Malcolm I. Heywood, Nur Zincir-Heywood
2019	—	`ch.`	Big Data in Network Anomaly Detection. Encyclopedia of Big Data Technologies Duc C. Le, Nur Zincir-Heywood
2019	—	`conf`	Dynamic Insider Threat Detection Based on Adaptable Genetic Programming. SSCI Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood
2019	B	`conf`	Exploring Feature Normalization and Temporal Information for Machine Learning Based Insider Threat Detection. CNSM Pedro Ferreira, Duc C. Le, Nur Zincir-Heywood
2019	B	`conf`	Learning From Evolving Network Data for Dependable Botnet Detection. CNSM Duc C. Le, Nur Zincir-Heywood
2019	B	`conf`	Machine learning based Insider Threat Modelling and Detection. IM Duc C. Le, Nur Zincir-Heywood
2019	J	`jnl`	Unsupervised Monitoring of Networkand Service Behaviour Using SelfOrganizing Maps. J. Cyber Secur. Mobil. Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood
2018	A	`conf`	Benchmarking evolutionary computation approaches to insider threat detection. GECCO Duc C. Le, Sara Khanchi, Nur Zincir-Heywood, Malcolm I. Heywood
2018	—	`conf`	Evaluating Insider Threat Detection Workflow Using Supervised and Unsupervised Learning. IEEE Symposium on Security and Privacy Workshops Duc C. Le, Nur Zincir-Heywood
2016	—	`conf`	Data analytics on network traffic flows for botnet behaviour detection. SSCI Duc C. Le, Nur Zincir-Heywood, Malcolm I. Heywood