INFORMATION SYSTEM FOR THE COLLECTION AND ANALYSIS OF DATA ON HACKER GROUP ACTIVITIES

Abstract

The modern world’s growing dependence on information systems and technologies requires robust protection against cyberattacks. This has become particularly relevant amid the increasing activity of hacker groups. Attacks targeting state and private organizations encompass not only critical infrastructure but also the theft of confidential information, financial fraud, and destabilizing actions in cyberspace. In particular, hacker groups, using the latest techniques, tools, and software, pose a significant threat to the information security of individual organizations and entire states. They operate covertly, adapt quickly to new conditions, and have a high level of coordination, which complicates the detection and mitigation of their activities. This necessitates focused monitoring, continuous analysis of their activities, as well as the systematization and accumulation of the information obtained to create a unified knowledge base about their operations. Such groups often operate at an international level, affecting stability and security in various regions of the world, particularly in Ukraine. This article addresses the absence of a comprehensive tool for collecting, structuring, and analyzing data on hacker groups. This tool would enable filtering by group type, geography of activity, time periods of activity, as well as the techniques and tools used. Special attention is paid to the development of an information system that not only stores and analyzes information about the activities of hacker groups but also allows specialists to adapt data to local needs. The implementation of such a system requires the use of modern approaches to data collection, normalization, and analysis. Given the dynamic changes in cyberspace, the effective processing of information about attack operations requires the implementation of algorithms for filtering, clustering, and statistical analysis, which allows for the automated identification of trends in the use of attack techniques. A distinctive feature of this system is its adaptation to the Ukrainian context, considering the specifics of the local cyberspace, linguistic features, typical attack scenarios, and national security priorities. This, in turn, contributes to increasing the effectiveness of the analytical work of Ukrainian specialists, strengthening cyber defense, and developing a resilient model for responding to cyber threats.