About the Method of Protecting Information in Financial Portals based on Neural Networks

Abstract

The paper discusses the security aspects of financial portal information, and proposes a mechanism for creating an information protection module in the information system in financial institutions based on artificial neural networks. An information protection system with adaptive features needs to be developed to ensure information security and rapid response. The paper presents an approach that can be used to assess the security level of the information system of financial portals. The security level is defined as the ratio of the risks of a protected system to the risks of a vulnerable system. The methodology is based on a systems risk assessment approach. The risk-based approach is implemented in many areas of information security, as it allows to describe information resources more accurately, based on their characteristic weaknesses, the value, risks and, consequently, the level of criticality for the organization s activities.Based on the approach, the security of the system is determined by the ability to use access control and management tools, as a result of which, the user registered in the system will have access to the information with the necessary restrictions ensuring their unconditional use.