Investigation of agent-based simulation of malicious software

• Autorzy: Chumachenko D. , Yakovlev S.
• Języki publikacji: EN

Abstrakty

EN

Epidemics of malicious software are actual problem and network worms are one of the most important issues. Identifying trends in network worm distribution, finding the factors that influence the spread of the Internet worm will help to identify the effective preventive and precautionary measures to prevent epidemics of malicious software. To solve the problem of the development of advanced security mechanisms against network worms, different approaches to modeling the spreading of worms have been studied. Deterministic models of propagation of computer viruses in a heterogeneous network, taking into account its topological and architectural features have been analyzed and improved. Agent-based model of network worm propagation have been developed. Simulated model is based on epidemic approach to modeling. SAIDR structure of agent-based model has been used for simulation of malicious software of “network worm” type. A comparative study of developed mathematical models has been conducted. Comparative graphs of the dependence of the infected nodes number on the time of the computer system functioning in the propagation of the epidemic have been built. Research carried out by the example of the Code Red worm propagation.

Słowa kluczowe

EN

agent-based simulation; imitation model; malicious software; network worm; Code Red

• Wydawca: Polish Academy of Sciences, Branch in Lublin
• Czasopismo: ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
• Rocznik: 2016
• Tom: Vol. 5, No 4
• Strony: 61--67
• Opis fizyczny: Bibliogr. 14 poz., rys., wykr., wz.

Twórcy

autor

Chumachenko D.

• National Aerospace University “Kharkiv Aviation Institute”

autor

Yakovlev S.

• National Aerospace University “Kharkiv Aviation Institute”

Bibliografia

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• 11. Chumachenko T., Chumachenko D., Sokolov O., 2013. Multiagent simulation of the hepatitis B epidemic process. Online journal of public health informatics, 5 (1).
• 12. Boyko N., Kutyuk O., 2016. Basic concepts of evolution in agents calculating and agents system. ECONTECHMOD. An International Quarterly Journal, Vol. 05, No. 2. 69-76.
• 13. Chernyshev Y., Chumachenko D., Tovstik A., 2013. Development of intelligent agents for simulation of hepatitis B epidemic process. Proceedings of East West Fuzzy Colloquium 2013 (20th Zittau Fuzzy Colloquium, September 25–27, 2013). 161–168.
• 14. Bobalo Y., Politanskyi R., Klymash M., 2015. Traffic simulation in a telecommunication system based on queuing systems with different input flows. ECONTECHMOD. An International Quarterly Journal, Vol. 04, No. 1. 11-16.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).