(Sworld & D.A. Tsenov Academy of Economics – Svishtov, Bulgaria, 2023) Pakhomova, Victoria M.; Kovalov, Rodion
ENG: As a research method, ANFIS configurations 4-5-8-16-16-1 were used, where 4 is the number of input neurons; 5 – total number of layers; 8 – the number of neurons of the first hidden layer; 16 – the number of neurons of the second hidden layer; 16 – the number of neurons of the third hidden layer; 1 – the number of resultant neurons created using the Fuzzy Logic Toolbox of the MatLAB system, the resulting characteristic is the degree of confidence that the DoS attack occurred at the following terms: low; medium; high. Using the open database of NSL-KDD network traffic parameters on the created ANFIS, a study of its error at different affiliation functions on samples of different lengths was carried out using different methods of training optimization. It is determined that the smallest value of the ANFIS error was based on the use of the multiparameter Bell function by the Hybrid learning optimization method, and it is enough to have a training sample of 70 examples.