EXTRACTION OF CYBERSECURITY OBJECTS FROM ARRAYS OF ELECTRONIC TEXT DOCUMENTS ON THE INTERNET AND SOCIAL NETWORKS
DOI:
https://doi.org/10.28925/2663-4023.2024.26.663Keywords:
cyberwar, cybersecurity, Internet, open electronic sources, social networks, text analysis, cybersecurity objectsAbstract
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 accurate identification of geographic names, company names, and other important concepts. The second method is designed to analyze Cyrillic texts to recognize named cybersecurity entities, which simplifies the extraction procedure and increases the accuracy of the result. Each methodology complements each other, creating an overall integrated system that more effectively solves the task of extracting and analyzing cybersecurity objects compared to currently available solutions. The algorithms of the proposed methods are described, the practical implementation of which allows processing and analysing textual information with high accuracy and efficiency, which is an important step in the development of information technology for computer intelligence from open electronic sources and social networks.
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Copyright (c) 2024 Олександр Пучков, Дмитро Ланде, Ігор Субач
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