Використання штучного інтелекту та технології блокчейн для підвищення безпеки системи управління доступом

Abstract

This paper explores the prospects of using artificial intelligence and blockchain technologies to enhance the efficiency of access control and management systems. Modern approaches to implementing machine learning methods and neural networks in identification, authentication, and access monitoring processes are analyzed, along with the integration of blockchain to ensure data transparency and immutability. The key advantages of applying artificial intelligence for adaptive access control, anomaly detection, and reducing the risks of unauthorized intrusion are identified, while blockchain facilitates decentralized data storage and process automation through smart contracts. The main challenges of integrating intelligent technologies and blockchain into security systems are highlighted, and the prospects for their further development are outlined to create reliable and resilient access management systems capable of withstanding external threats.