CYBERSECURITY ON EDGE-DEVICES

Abstract

In contemporary Industry 4.0 systems, the integration of edge and Internet of Things (IoT) devices facilitates the collection of real-time data, its local processing, and subsequent transmission, thereby significantly enhancing the efficiency of automated processes. Simultaneously, their extensive interconnection within networks engenders substantial cybersecurity concerns, including breaches of data confidentiality, integrity, and availability, as well as tangible physical consequences resulting from successful intrusions. This paper discusses the security requirements of the Industrial Internet of Things (IIoT), classifies threats according to architectural layers (perception, network, application), identifies primary sources of threats, and examines typical device vulnerabilities. Furthermore, it provides a comprehensive analysis of potential applications of artificial intelligence in anomaly detection and cyberattack identification. The benefits of edge computing for the enhancement of decentralized protection mechanisms are also explored. Additionally, the study investigates methods to improve resilience, including encryption techniques, intrusion detection systems, federated learning, and blockchain integration. The research emphasizes the necessity for a holistic approach to protecting resource-constrained devices, thereby ensuring the reliable operation of critical information and control systems.