EXTRACTION OF CYBERSECURITY OBJECTS FROM ARRAYS OF ELECTRONIC TEXT DOCUMENTS ON THE INTERNET AND SOCIAL NETWORKS

The modern world is characterized by the rapid development of information technology (IT) and global interaction in cyberspace. This progress, despite its benefits, has also led to the emergence of new threats and challenges in the field of cybersecurity. Cyberwarfare, which has become a real problem for states, organizations and individual users, requires the development of effective methods for detecting and analyzing cybersecurity targets. One of the key aspects in the fight against cyber threats is the ability to extract factual data about cybersecurity objects from large amounts of textual information. Traditional text analysis methods have their limitations, especially when working with large and complex text data. In this regard, the use of modern IT, which allows processing and analyzing textual information with high accuracy and efficiency, becomes relevant. The article presents methods for extracting cybersecurity objects from electronic text documents using regular expressions and detecting cybersecurity objects based on the analysis of arrays of Cyrillic texts. The first methodology detects factual data from text documents using regular expressions, which allows for the