In order to provide an accurate and timely response to different types of the attacks, intrusion
and anomaly detection systems collect and analyze a lot of data that may include personal …

The evolution of cybersecurity is undoubtedly associated and intertwined with the
development and improvement of artificial intelligence (AI). As a key tool for realizing more …

Our daily lives are significantly impacted by intelligent Internet of Things (IoT) application,
services, IoT gadgets, and more intelligent industries. Artificial Intelligence (AI) is anticipated …

In recent times, increasing severity and complication of security assaults on computer
networks are simulated security researchers to incorporate various machine learning …

Intrusion detection is essential for safeguarding computer systems and networks against
unauthorized access, malicious activities, and security breaches. Its application domains …

Vertical federated learning (VFL) revolutionizes privacy-preserved collaboration for small
businesses that have distinct but complementary feature sets. However, as the scope of VFL …

Artificial Intelligence (AI) is transforming the future of industries by introducing new
paradigms. To address data privacy and other challenges of decentralization, research has …

A network intrusion detection method for information systems using federated learning and
improved transformer is proposed to address the problems of long detection time and low …

Для обеспечения точного и своевременного реагирования на различные типы атак
системы обнаружения вторжений собирают и анализируют большое количество …

Полученный результат: разработана концепция и архитектура системы обнаружения
вторжений на основе федеративного машинного обучения. Предложенная …