00000nam 2200000zi 4500 9.882659 CaOODSP 20221107170345 m o d f cr cn||||||||| 191205t20182018onca ob f000 0 eng d CaOODSP eng rda CaOODSP eng eng fre D68-2/213-2018E-PDF Nguyen, Bao U., author. Modelling cyber vulnerability using epidemic models / Bao Nguyen, DRDC - Centre for Operational Research and Analysis. Ottawa, Ontario : Defence Research and Development Canada = Recherche et développement pour la défense Canada, 2018. ©2018 1 online resource (vi, 26 pages, 2 unnumbered pages) : colour illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Scientific report ; DRDC-RDDC-2017-R213 "Can unclassified." "May 2018." Includes bibliographical references (pages 23-25). "This Scientific Report (SR) documents an epidemic model known as SIR (Susceptible-Infected-Removed units). We derive an approximated solution to the differential equations that define the SIR model. Unlike the exact SIR solution, the approximate solution is analytical and has a close form expression. We use this approximate model as an inspiration to cyber defence. Such a model allows us to investigate the characteristics of the propagation of electronic viruses. That is, we can determine the number of susceptible units, the number of infected unit and the number of removed units as a function of time. This information will eventually permit the defence to find ways to eradicate a virus attack"--Abstract, page i. Includes abstracts in English and French. Computer viruses. Epidemiology Mathematical models. Virus informatiques. Épidémiologie Modèles mathématiques. Defence R&D Canada. Centre for Operational Research and Analysis. Scientific report (Defence R&D Canada) DRDC-RDDC-2017-R213. (CaOODSP)9.802305 PDF 1.02 MB https://publications.gc.ca/collections/collection_2019/rddc-drdc/D68-2-213-2018-1-eng.pdf