A mathematical model or algorithm represented as a system of interconnected nodes (neurons). Each neuron is a processor that converts an incoming signal into an outgoing one.
The ANS topology is based on the principles of connections between neurons inside the human brain. The key advantage of such architecture is the potential to create a self-learning neural network for solving complex problems.
In the field of information security, artificial neural networks can be used to recognize graphical objects (for example, to search for photographs of a person based on a pattern) or to detect new cyber threats.