Neural networks based choice of tools for penetration testing of web applications

Possibilities of neural networks usage for solving the problem of selecting tools for penetration testing of web applications are considered. Initial data for the creation of a website that will help to form a vector of requirements using a questionnaire mechanism and to select tools that will fully satisfy user's requirements have been described. The construction process of a question tree for a simple questionnaire mode, which will reduce the number of questions the user should answer, is described. Expert mode differs in containing more questions, but it allows forming a vector of requirements more accurately.