Robust active attacks on social graphs

Reference : Robust active attacks on social graphs


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/40556

Title :	Robust active attacks on social graphs
Language :	English
Author, co-author :	Mauw, Sjouke [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Ramirez Cruz, Yunior [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Trujillo Rasua, Rolando [Deakin University > Centre for Cyber Security Research and Innovation, School of Information Technology]
Publication date :	Sep-2019
Journal title :	Data Mining and Knowledge Discovery
Publisher :	Kluwer Academic Publishers
Volume :	33
Issue/season :	5
Special issue title :	Journal Track of ECML PKDD 2019
Pages :	1357-1392
Peer reviewed :	Yes
Audience :	International
ISSN :	1384-5810
e-ISSN :	1573-756X
Country :	Netherlands
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	Privacy-preserving Publication of Dynamic Social Network Data in the Presence of Active Adversaries
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/40556
DOI :	10.1007/s10618-019-00631-5
FnR project :	FnR ; FNR11685812 > Yunior Ramirez-Cruz > PrivDA > Privacy-preserving Publication of Dynamic Social Network Data in the Presence of Active Adversaries > 01/06/2018 > 31/05/2021 > 2017

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