Fuzzy Sets in Problems of Identification of Attacks on Wireless Sensor Networks

The article discusses an approach to describing and identifying signs of computer attacks on wireless sensor networks. The approach is based on a method for solving problems of identifying objects and processes in the conditions of fuzziness of their observable features. The method is focused on eliminating fuzziness (as one of the types of uncertainty) in identifying multistage attacks on networks of this class. It is based on the use of fuzzy and linguistic variables when processing fuzzy knowledge about the characteristics of potential attacks. This makes it possible to increase the reliability (objectivity) of the security control of modern systems and networks of the Internet of Things, where the advantages of wireless sensor networks have found unconditional application.