Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats

Diana Haidar; Mohamed Medhat Gaber

doi:10.1109/IJCNN.2018.8489107

Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats

Diana Haidar, Mohamed Medhat Gaber

Birmingham City University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Citations (SciVal)

Original language	English
Title of host publication	2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509060146
DOIs	https://doi.org/10.1109/IJCNN.2018.8489107
Publication status	Published (VoR) - 10 Oct 2018
Event	2018 International Joint Conference on Neural Networks, IJCNN 2018 - Rio de Janeiro, Brazil Duration: 8 Jul 2018 → 13 Jul 2018

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks
Volume	2018-July

Conference

Conference	2018 International Joint Conference on Neural Networks, IJCNN 2018
Country/Territory	Brazil
City	Rio de Janeiro
Period	8/07/18 → 13/07/18

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10.1109/IJCNN.2018.8489107

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Haidar, D., & Gaber, M. M. (2018). Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats. In 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings Article 8489107 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2018.8489107

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title = "Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats",

author = "Diana Haidar and Gaber, {Mohamed Medhat}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Joint Conference on Neural Networks, IJCNN 2018 ; Conference date: 08-07-2018 Through 13-07-2018",

year = "2018",

month = oct,

day = "10",

doi = "10.1109/IJCNN.2018.8489107",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Haidar, D & Gaber, MM 2018, Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats. in 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings., 8489107, Proceedings of the International Joint Conference on Neural Networks, vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, 8/07/18. https://doi.org/10.1109/IJCNN.2018.8489107

Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats. / Haidar, Diana; Gaber, Mohamed Medhat.
2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8489107 (Proceedings of the International Joint Conference on Neural Networks; Vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Adaptive One-Class Ensemble-based Anomaly Detection

T2 - 2018 International Joint Conference on Neural Networks, IJCNN 2018

AU - Haidar, Diana

AU - Gaber, Mohamed Medhat

PY - 2018/10/10

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BT - 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 8 July 2018 through 13 July 2018

ER -

Adaptive One-Class Ensemble-based Anomaly Detection: An Application to Insider Threats

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