eprintid: 690
rev_number: 10
eprint_status: archive
userid: 14
dir: disk0/00/00/06/90
datestamp: 2016-05-16 13:16:49
lastmod: 2016-05-16 13:17:09
status_changed: 2016-05-16 13:17:09
type: report
metadata_visibility: show
creators_name: Minchev, Z.
creators_name: Dukov, G.
creators_name: Ivanova, T.
creators_name: Mihaylov, K.
creators_name: Boyadzhiev, D.
creators_name: Mateev, P.
creators_name: Bojkova, M.
creators_name: Daskalova, N.
title: Cyber Intelligence in the Era of Big Data
ispublished: pub
subjects: decision
subjects: telecom
studygroups: esgi113
full_text_status: public
abstract: Three key moments have to be solved for this complex problem proper ap- proaching: (i) selection of suitable formalism for fast and easy modelling, im- plementing both experts’ data and cyber incidents statistics on past and future cyberattacks trends; (ii) model quantification is necessary to be added, achieving a suitable machine interpretation for discrete optimization; (iii) some probabilistic elements have also to be considered, in order to achieve realistic models, practi- cal implementation decision support, benefitting from the “big data” knowledge context of the task. Practical implementation of these moments will be given further.
date: 2014
citation:   Minchev, Z. and Dukov, G. and Ivanova, T. and Mihaylov, K. and Boyadzhiev, D. and Mateev, P. and Bojkova, M. and Daskalova, N.  (2014) Cyber Intelligence in the Era of Big Data.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/690/1/Cyber%20Intelligence%20Decision%20Support%20in%20the%20Era%20of%20Big%20Data.pdf