A new DNS-based anti-evasion technique for botnets detection is proposed. It is based on a cluster analysis of the features obtained from the payload of DNS-messages. The method uses a semi-supervised fuzzy c-means clustering. Usage of the developed method makes it possible to detect botnets that use the DNS-based evasion techniques with high efficiency.

This work is devoted to determining the degree of cross-correlation of software quality subcharacteristics and characteristics for joint measures. In the paper the weights of measures are calculated. The weights of measures represent mutual influences of quality characteristics, subcharacteristics and their mutual correlation The weights of measures are necessary for further evaluation of current software quality characteristics (for ISO 25010).