Investigation of agent-based simulation of malicious software

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.