Electronic Weapons Dome: EWD
Advanced Information Machine Learning User eXperience:
Advanced Information Platforms can combine multiple-systems into a Knowledge Graph Neural Network (KGNN)
Situational Awareness Layer:
- Initial layer focusing on collecting data through sensors, satellites, or monitoring systems to understand the electromagnetic spectrum, including signals, frequencies, and activities within a designated area.
Data Processing and Fusion Layer:
- Processing and integrating data from various sources (radars, sensors, intelligence inputs) to generate a comprehensive view of the electromagnetic environment. This layer involves data fusion techniques and analytics to derive actionable insights.
Threat Assessment and Identification Layer:
- Analyzing processed data to identify potential threats or anomalies within the electromagnetic spectrum. This stage involves identifying hostile signals, recognizing patterns indicative of threats, and distinguishing between friendly and adversarial electronic activities.
Defensive Measures Layer:
- Implementing defensive strategies and countermeasures to protect friendly assets from electronic attacks or interference. This could involve deploying systems to counter jamming, protect communication channels, or shield critical infrastructure.
Offensive Capabilities Layer:
- Housing offensive electronic warfare capabilities aimed at disrupting or degrading enemy electronic systems. This layer might include tools for jamming adversary communications, launching cyber attacks, or employing other offensive electronic tactics.
Adaptive and Response Layer:
- A dynamic layer designed to adapt and respond in real-time to evolving threats or changing electromagnetic conditions. This could involve adaptive algorithms or AI-driven systems capable of adjusting defensive and offensive measures based on ongoing analysis.
