CLOUD DATA SECURITY: PRACTICES AND STANDARDS FOR GIS

Abstract

In the era of growing popularity of cloud computing, ensuring data security in GIS (Geographic Information Systems) systems is becoming a key challenge. The purpose of this article is to analyze cloud data security practices and standards that can be used in GIS systems. The study used hazard and risk analysis methods, a literature review, interviews with experts and a case study. The results indicate that the most common threats to GIS data in the cloud include unauthorized access, ransomware attacks, and human error. Effective security practices include the use of advanced monitoring tools, data encryption, and the implementation of international standards such as ISO 27001, ISO 27017, and ISO 27018. The article concludes with recommendations for improving data security in the cloud and proposals for further research in this area.