Intelligent forecasting of supply reliability as a key factor in ensuring information security of the critical infrastructure of financial sector organizations

Abstract

Intelligent forecasting of supply reliability as a key factor in ensuring information security of the critical infrastructure of financial sector organizations

Korchagin S.A., Rubtsov D.Yu., Serdechny D.V., Bespalova N.V.

Incoming article date: 16.05.2024

The article proposes the use of intelligent methods for predicting the reliability of contract execution as a key element of the system for ensuring information security of the critical infrastructure of financial sector organizations. Based on the analysis of historical data and the use of machine learning methods, a comprehensive model for assessing and predicting the risks of failure or poor performance of contracts by suppliers has been developed. It is shown how the use of predictive analytics can improve the efficiency of information security risk management, optimize planning and resource allocation, and make informed decisions when interacting with suppliers of critical services and equipment.

Keywords: intelligent system, predictive analytics, information security, critical infrastructure, financial sector, contract execution, machine learning