The use of fault detection and tolerance measures in wireless sensor networks is inevitable
to ensure the reliability of the data sources. In this context, immune-inspired concepts offer …

With the increase in available data from computer systems and their security threats, interest
in anomaly detection has increased as well in recent years. The need to diagnose faults and …

Defending against novel, repeated, or unpredictable attacks, while avoiding attacks on the
'self', are the central problems of both mammalian immune systems and computer systems …

The dendritic cell algorithm (DCA) is an excellent prototype for developing Machine
Learning inspired by the function of the powerful natural immune system. Too many …

Detecting network anomaly attacks is important due to the need for security guarantees,
reliability, and privacy. The human immune mechanisms intelligently detect, fight, and …

View Video Presentation: https://doi. org/10.2514/6.2023-1663. vid A general framework for
the health monitoring and control of autonomous unmanned aerial vehicle is proposed …

Given the continual evolution of new network attack methodologies, defenders face the
imperative of constantly upgrading security defenses. Current security technologies, albeit …

В условиях цифровизации промышленной отрасли и связанного с ней увеличения
числа кибератак на производственную инфраструктуру, особенно актуальна задача …

Работа посвящена исследованию и систематизации киберугроз крупномасштабным
киберфизическим системам с динамической сетевой инфраструктурой. Предложенная …