Final answer:
The IDS system that uses algorithms to analyze the network traffic is known as a Statistical Anomaly-based IDS.
Step-by-step explanation:
The IDS system that uses algorithms to analyze the traffic passing through the network is called a Statistical Anomaly-based IDS. These systems use statistical models to asses normal network behavior, and then apply algorithms to detect deviations from this norm, which may indicate potential security incidents or threats. This approach is different from Signature-based IDS, which compares traffic patterns against a database of known attack signatures to identify threats.
To help clarify with an example, consider a heuristic, which is a mental shortcut or general problem-solving framework. It contrasts with an algorithm in that a heuristic is less structured and can vary in application, whereas an algorithm in a Statistical IDS is a set of well-defined rules or calculations designed to perform an operation or solve a problem precisely.
In a different context, within ecosystems modeling, the use of mathematical equations to model linear aspects of ecosystems is known as analytical modeling. This also relies on algorithms and formulae to predict ecosystem behaviors under various conditions, though the content area is vastly different.