PROBLEMATICS OF AUTHENTICITY VERIFICATION, COPYRIGHT AND DIGITAL DATA INTEGRITY

Abstract

Nowadays, the problem of ensuring the security of digital data is becoming more urgent than ever. Consumers of digital data or information are almost all people in most spheres of life. Secure data in the context of research is data whose origin is reliable, its integrity is intact, and copyrights are respected. Digital data protection methods are being improved every year in an effort to prevent information theft and protect people from false or deliberately false information. However, with all its diversity and technological maturity, modern approaches to verifying the authenticity, copyright and integrity of multimedia and tools based on them cannot always fully protect consumers of information from modern cyber threats. Introduction of something new does not always eliminate the conceptual problems of what was before. New approaches, tools, and standards often introduce new vulnerabilities that are used by attackers. Research goal. To analyze modern methods and technologies for verifying authenticity, copyright and integrity of multimedia data, as well as to propose an integrated approach that can help to solve the identified problems. Materials and methods. Retrospective method is used to analyze the historical development of data protection technologies, cryptographic approaches, as well as modern solutions based on blockchain and machine learning. Results. The analysis showed that traditional cryptographic methods, despite their effectiveness in ensuring data integrity, face limitations in distributed systems due to the lack of uniform standards and the complexity of scaling. Conclusion. Despite the variety of existing technologies for verifying the authorship, integrity, and authenticity of digital data in general and multimedia in particular, today the problems of lack of standardization and fragmentation of solutions remain among key challenges in the area of making digital data secure in its entirety.