Abo Bibliothek: Guest
Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Perfection of Computer Epidemic Model by Estimation of Functional Stability of the Information System

Volumen 52, Ausgabe 1, 2020, pp. 29-40
DOI: 10.1615/JAutomatInfScien.v52.i1.40
Get accessGet access

ABSTRAKT

Under the conditions of permanent computer attacks many objects of information systems continue to work even after a partial loss of functional stability. For counteraction to incidents it is necessary to predict the dynamics of changes in the functional stability of information systems to improve counteraction resource planning. The objective of the article is to improve existing models of computer epidemics by estimation of the functional stability of the information system. The work improves the dynamic VNF model of a computer epidemic, which allows the prediction of the level of functional stability of the information system at various stages of an epidemic. Many models of computer epidemics were obtained by adapting models of biological epidemics to the characteristics of computer objects. The VNF-model promotes the improvement of models of biological epidemics by inverse adaptation of computer epidemic models to specific features of biological objects. The logic of mutual transformations between biological and computer models of epidemics is considered. The VNF model takes into account that improvement of functional stability is promoted not only by uninfected objects, but by objects, infected on different stages of infection, and cured objects that lost a part of their functional stability. We studied the dynamic dependence of the estimation error of functional stability on the coefficient of susceptibility to infection and the infection transmission coefficient. The proposed model has been tested by examples of real epidemics of computer worms CodeRed CRvl, CRv2, SQL Slammer and the gripe epidemic in Ukraine. The proposed approach increased the accuracy of prediction of the functional stability of information systems under computer epidemic to 22 % and improved the accuracy of prediction of the functional stability of the labor forces of a society under gripe to 16 %.

REFERENZEN
  1. Shevchenko V.L., The best world practices of the information security management and their effect on economic stability of a state, Sovremennaya zashchita informatsii, DUT, Kiev, 2015, No. 4, 4-9. .

  2. The global state of information security Survey 2016. Turnaround and transformation in cybersecurity, Official site PricewaterhouseCoopers, 2016, https://www.pwc.com/gx/en/issues/-cyber-security/information-security-survey.html (accessed 23 March 2017) .

  3. Petrov P., Dimitrov G., Ivanov S., A comparative study on websecurity technologies used in Irish and Finnish Banks, 18 International MultidisciplinaryScientificGeoconference SGFM 2018: Conference Proceedings, 2-8 July 2018 (Albena, Bulgaria), 18 (Informatics, Geoinformatics a. Remote Sensing), No. 2.1, (Informatics, Sofia: STEF92 Technology Ltd), 2018, 18, No. 2.1, 3-10. .

  4. Mashkov O.A., Barabash O.V., Estimation of the functional stability of distributed information-control systems, Fiziko-matematicheskoye modelirovaniye 1 informatsionnye tekhnologii, 2005, No. 1, 157-163. .

  5. Cohen F., Computer viruses. PhD thesis, University of Southern California, 1985. .

  6. Kephart J.O., White S.R., Directed-graph epidemical models of computer viruses, Proceedings of the IFFF Computer Society Symposium on Research in Security and Privacy, 1991, 343-358, DOI: 10.1109/RISP.1991.130801. .

  7. Bychkov A.S., Novotna V., Shevchenko V.L., Shevchenko A.V., Perfection of the model of computer epidemics based on extension of the set of potential states of objects of an information system, Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal "Problemy upravleniya 1 informatiki", 2019, No. 6, 71-85. .

  8. Kermack W.O., McKendrick A.G., Contributions to the mathematical theory of epidemics, I. Bltn Mathcal Biology, 1991, 53, 33-55, DOI: 10.1007/BF02464423. .

  9. Vyun V.I., Eremenko T.K., Kuzmenko G.E., Mikhnenko Yu. A., On an approach to prediction of epidemical grip-influenza situation with application of time series, Matematicheskiye mashyny 1 sistemy, 2011, No. 2, 131 136. .

  10. Solovyov S.O., Tereshchenko I.O., Dzyublik I.V., Mathematical modeling and prediction of children under five rotavirus infection in Ukraine, Meditsinskaya informatika i inzheneriya, 2012, No. 1, 23-29. .

  11. Klimentyev K.E., Computer viruses and antiviruses: Programmer look [in Russian], DMK Press, Moscow, 2013. .

  12. Stollenwerk N., Jansen V., Population biology and criticality. From critical bith-death processes to self-organized criticality in mutation pathogen system, Imperial College Press, London, 2011, DOI: 10.1142/P645. .

  13. Zhang Ch., Global behavior of a computer virus propagation model on multilayer networks, Hindawi. Security and Communication Networks, Art. ID 2153195, 20iS, 2018, 1-9, DOI: 10.1155/2018/2153195. .

  14. Zhang Z., Song L., Dynamics of a computer virus propagation model with delays and graded infection rate, Hindawi. Advances in Mathematical Physics, 2011, Article ID 4514935, 1-13, DOI: i0.1155/2011/4514935. .

  15. Umbreen F., Mubasher A., Nauman A., Rafiq M., Numerical modeling of susceptible latent breaking-out quarantine computer virus epidemic dynamic, Heliyon, 2015, 4, No. 5, e00631, 1-21, DOI: 10.1016/j.heliyon.20iS.e00631. .

  16. Leveille J., Epidemic spreading in technological networks, 2002, www.hpl.hp.com/techreports/2002/HPL-2002-281.pdf (accessed 23 March 2011). .

  17. Shevchenko A., Shcheblanin J., Shevchenko V., The epidemiological approach to prognosis and management of information incidents, Sistemy obrabotki informatsii, 2011, No. 5 (151), 145-150, http://www.hups.mil.gov.ua/periodic-app/journal/soi/2017/5 .

  18. Shevchenko A., Shevchenko V., The epidemiological approach to information security incidents forecasting for decision making systems, 13-th International Conference Perspective Technologies and Methods in MEMS Design (MEMSTECH), Proceeding, Polyana, April 20-23, 2011, 174-177, http://ieeexplore.ieee.org/document/i93156i, DOI: 10.1109/MEMSTECH.2017.7937561. .

REFERENZIERT VON
  1. Mashkov Oleh, Bychkov Alexey, Kalahnik Ganna, Shevchenko Victor, Vyshemyrska Svitlana, Application of the Theory of Functional Stability in the Problems of Covering Territories by Sensory Networks, in Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making, 149, 2023. Crossref

Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen Preise und Aborichtlinien Begell House Kontakt Language English 中文 Русский Português German French Spain