Detecting Malicious Authentication Events Trustfully

Reference : Detecting Malicious Authentication Events Trustfully


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/35702

Title :	Detecting Malicious Authentication Events Trustfully
Language :	English
Author, co-author :	Kaiafas, Georgios [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Varisteas, Georgios [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Lagraa, Sofiane [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	State, Radu [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2018
Main document title :	IEEE/IFIP Network Operations and Management Symposium, 23-27 April 2018, Taipei, Taiwan Cognitive Management in a Cyber World
Author, co-author :	Kaiafas, Georgios
	Varisteas, Georgios
	Lagraa, Sofiane
	State, Radu
Peer reviewed :	Yes
Event name :	3rd IEEE/IFIP International Workshop on Analytics for Network and Service Management
Event date :	23-5-2018
Keywords :	[en] Machine Learning ; Anomaly Detection ; Credential Authentication Attack
Permalink :	http://hdl.handle.net/10993/35702

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