Цель исследования – анализ современных патентных решений в области защиты от преднамеренных перегрузок вычислительной системы, созданных посредством распределенных множественных сетевых запросов. На основе изучения 8325 патентных заявок выявлены ключевые технологические направления и их динамика развития с 2000 по 2025 г. Установлено, что рост публикационной активности имеет экспоненциальный характер, подтверждающий высокую актуальность темы. Построена и проанализирована кластерная структура авторов, определяющая научные связи и лидеров в данной области. Основное внимание уделено классификации патентов по категориям: блокчейн-решения (координация защиты через смарт-контракты, квантово-устойчивые алгоритмы), искусственный интеллект (генеративные модели, прогнозирование атак), программно-определяемые сети, аппаратные решения и интеграция с облачными платформами. Выявлена высокая концентрация патентной активности вокруг крупных технологических корпораций, 14 из которых суммарно формируют более половины всех исследуемых решений. Указывается переход к комплексным подходам, сочетающим несколько технологий, однако отмечаются сохраняющиеся вызовы: минимизация ложных срабатываний, защита от атак с применением квантовых вычислений и масштабируемость решений. Практическая значимость исследования заключается в систематизации передовых методов защиты, что может быть использовано для разработки стратегий кибербезопасности организаций.
The purpose of the study is to analyze modern patent solutions in the field of protection against intentional computing system overloads created through distributed multiple network requests. Based on the study of 8,325 patent applications, key technological trends and their development dynamics from 2000 to 2025 have been identified. It has been established that the growth in publication activity follows an exponential trend, confirming the high relevance of the topic. A cluster structure of authors has been constructed and analyzed, revealing scientific connections and leaders in this field. The primary focus is on the classification of patents by categories: blockchain solutions (protection coordination via smart contracts, quantum-resistant algorithms), artificial intelligence (generative models, attack prediction), software-defined networks, hardware solutions, and integration with cloud platforms. A high concentration of patent activity around major technology corporations has been identified, with fourteen of them collectively accounting for over half of all studied solutions. A shift towards comprehensive approaches combining multiple technologies is indicated; however, persistent challenges are noted: minimizing false positives, protection against quantum computing-based attacks, and solution scalability. The practical significance of the research lies in the systematization of advanced protection methods, which can be used for developing cybersecurity strategies for organizations.
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