Kryshchuk A. Multiagent information technology of diagnosis of computer systems of the existence of the botnets in corporate area network

The object of study - the process of diagnosing computer systems for the presence of botnets; object of study - models, methods and software of multi-agent information technology of computer systems diagnosing of the presence of botnets; novelty - botnets detection method based on the involvement of multi-agent technology and neural network fuzzy inference, thus improving the reliability of detecting botnets; first developed a method for the localization of botnets in corporate networks, the hallmark of which is the use of behavioral models of bots and bot networks and multi-agent technology to determine the location of the infected computer systems and related software; received further development behaviors botnets and bots, which is a feature of the consideration of the impact of actions bots in botnets, thus improving the reliability of detection is not only known, but also new botnets based on the functions properties; received further development model of diagnosing the presence of CS botnets, which differs from the known fact that using behavioral models bots and botnets, allowing their use to identify existing and unknown botnets.