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.

I. Introduction

Information technology permeates into all spheres of human life. It is impossible to imagine the modern world without the Internet, which makes it possible to make a person's life brighter and more saturated. The development of technologies made possible the provision of various online services; rapid development was given to small and medium-sized businesses on the Internet. Along with this, the activity of cybercriminals that use Internet resources as targets of attacks is also increased [1]. The security aspect has become an important component in software development, particularly, in the financial sector.