ENSEMBLE LEARNING FOR ANOMALY DETECTION WITH APPLICATIONS FOR CYBERSECURITY AND TELECOMMUNICATION

Reference : ENSEMBLE LEARNING FOR ANOMALY DETECTION WITH APPLICATIONS FOR CYBERSECURITY AND TELEC...


	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences; Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/44607

Title :	ENSEMBLE LEARNING FOR ANOMALY DETECTION WITH APPLICATIONS FOR CYBERSECURITY AND TELECOMMUNICATION
Language :	English
Author, co-author :	Kaiafas, Georgios [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > >]
Publication date :	Oct-2020
Institution :	University of Luxembourg, Luxembourg
Name of the degree :	INFORMATIQUE
Permalink :	http://hdl.handle.net/10993/44607

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	PhD_Thesis_GKaiafas.pdf		Author preprint	6.08 MB	View/Open

All documents in ORBi^lu are protected by a user license.