18454573. ARTIFICIAL INTELLIGENCE-BASED CYBER TRAINING METHOD AND APPARATUS simplified abstract (ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE)
Contents
- 1 ARTIFICIAL INTELLIGENCE-BASED CYBER TRAINING METHOD AND APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ARTIFICIAL INTELLIGENCE-BASED CYBER TRAINING METHOD AND APPARATUS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ARTIFICIAL INTELLIGENCE-BASED CYBER TRAINING METHOD AND APPARATUS
Organization Name
ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE
Inventor(s)
ARTIFICIAL INTELLIGENCE-BASED CYBER TRAINING METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18454573 titled 'ARTIFICIAL INTELLIGENCE-BASED CYBER TRAINING METHOD AND APPARATUS
Simplified Explanation
The patent application describes an AI-based cyber training method that involves training an attack agent in a cyber range environment to determine whether to perform an attack or defense based on the success of a unit attack.
- Training an attack agent based on environment and state information of a cyber range and a set of attack tools
- Executing a unit attack in the cyber range
- Determining the success of the unit attack to decide on performing an attack or defense
Potential Applications
This technology could be applied in cybersecurity training programs, military simulations, and threat detection systems.
Problems Solved
This technology helps in improving cybersecurity skills, enhancing threat detection capabilities, and optimizing response strategies in cyber attacks.
Benefits
The benefits of this technology include more effective cyber training, better preparedness against cyber threats, and enhanced decision-making in cyber defense.
Potential Commercial Applications
Potential commercial applications of this technology could be in cybersecurity training platforms, defense industry simulations, and security consulting services.
Possible Prior Art
One possible prior art could be traditional cyber training methods using simulated attack scenarios without AI-based decision-making capabilities.
What are the potential limitations of this AI-based cyber training method?
The potential limitations of this AI-based cyber training method could include the need for continuous updates to adapt to evolving cyber threats, potential biases in the training data affecting decision-making, and the complexity of integrating AI systems into existing cybersecurity infrastructure.
How does this AI-based cyber training method compare to traditional cyber training approaches?
This AI-based cyber training method offers the advantage of adaptive decision-making based on real-time attack scenarios and environment information, whereas traditional cyber training approaches may rely on static attack simulations and predetermined responses.
Original Abstract Submitted
Disclosed herein are an artificial Intelligence (AI)-based cyber training method. The AI-based cyber training method may include generating a unit attack by training an attack agent based on environment and state information of a cyber range (CR) and a set of attack tools executable on a system, executing the unit attack in the CR, and then determining whether the unit attack has succeeded, and determining whether to perform an attack or a defense based on whether the unit attack has succeeded.
