METHODS FOR IDENTIFYING CYBER THREATS IN GIS SYSTEMS. COMPARATIVE ANALYSIS

Abstract

Geographic Information Systems (GIS) play a vital role in managing spatial data and supporting decision-making processes across a range of sectors. They are becoming an essential tool in many industries, including crisis management, urban planning, transport and environmental protection. However, the large volume and complexity of the data they handle render GIS systems increasingly vulnerable to cyber threats. Therefore, it is crucial that these systems are safeguarded using contemporary threat detection methods. This article presents various threat detection approaches for GIS systems, including network traffic analysis, intrusion detection systems (IDS), artificial intelligence, and system vulnerability analysis. The strengths, weaknesses, effectiveness and practical applicability of these methods are highlighted. The analysis indicates that a multi-layered approach combining various threat identification techniques is necessary to ensure comprehensive protection of GIS systems.