Print Email Facebook Twitter Statistical Analysis in Cyberspace Title Statistical Analysis in Cyberspace: Data veracity, completeness, and clustering Author Roeling, M.P. (TU Delft Cyber Security) Contributor Verwer, S.E. (promotor) van den Berg, Jan (promotor) Lagendijk, R.L. (promotor) Degree granting institution Delft University of Technology Date 2021-06-07 Abstract This thesis presents several methodological and statistical solutions to problems encountered in cyber security. We investigated the effects of compromised data veracity in state estimators and fraud detection systems, a model to impute missing data in attributes of linked observations, and an unsupervised approach to detect infected machines in a computer network. Subject CybersecurityUnsupervised learningImputationData veracity To reference this document use: https://doi.org/10.4233/uuid:f495fd3f-d131-40c9-a51e-e4a8bcc12c84 ISBN 978-94-6423-299-8 Part of collection Institutional Repository Document type doctoral thesis Rights © 2021 M.P. Roeling Files PDF PhDthesis_MarkPatrickRoel ... mplete.pdf 17.32 MB Close viewer /islandora/object/uuid:f495fd3f-d131-40c9-a51e-e4a8bcc12c84/datastream/OBJ/view