ANTI-OSINT METHODS ENSURING PROTECTION OF PERSONAL DATA IN THE CONTEXT OF CYBERCRIME

<ns3:p>The issue of anti-OSINT methods is extremely relevant in modern digital world, where the protection of personal data is becoming critical in the context of the growth of cybercrime. Therefore, the purpose of this study was to characterise anti-OSINT methods that ensure the protection of personal data in the context of cybercrime. To fulfil this purpose, a variety of scientific and legal methods were employed, including analysis and synthesis, hermeneutical, and institutional methods. It was found that by applying anonymisation, encryption, access control, and other technologies, anti-OSINT is becoming an integral part of cybersecurity, helping to protect individual privacy and preventing possible threats to users and organisations. It was established that anti-OSINT methods are a valuable tool for protecting users’ personal data, aimed at preventing the unauthorised receipt and misuse of personal data on the Internet. To combat the security threats arising from the misuse of OSINT data, the study emphasised the need to develop basic security requirements for collecting and storing data in the OSINT system. The study also proved the need to apply the anti-OSINT methodology, which is based on analysing the content of the Internet space and allows identifying cybersecurity objects and their interconnections. This methodology can be used to perform cluster analysis of a network of objects, identify cluster centres, and perform other analogous tasks. The study showed the prospects of using OSINT methods in the context of preventing cybercrime, provided that appropriate legislation is developed.</ns3:p>