Description: The detection rate is a key indicator in cybersecurity systems, especially in intrusion detection and prevention systems (IDS/IPS). It refers to the percentage of real threats that a system can correctly identify. This parameter is crucial for assessing the effectiveness of a security system, as a high detection rate implies that the system can recognize and respond to attacks or intrusions efficiently. Conversely, a low detection rate may leave vulnerabilities in the network, allowing potential threats to go unnoticed. The detection rate is calculated by comparing the number of detected threats with the total number of actual threats present in the environment. This value is used to adjust and improve detection algorithms, as well as to optimize system configurations. In the field of computer vision, the detection rate refers to a model’s ability to correctly identify objects or patterns in images or videos, being a fundamental aspect in various applications such as surveillance, autonomous driving, and facial recognition. In both contexts, a high detection rate is essential to ensure security and operational effectiveness.
