6.2.4. Hybrid Detection

Hybrid detection is an approach that combines different ransomware-detection techniques to improve the overall detection accuracy and speed. This approach combines the strengths of other detection techniques, such as signature-based, heuristic-based, machinelearning-based, and network-based detection, to create a more robust and effective detection system [32,33].

One of the advantages of hybrid detection is its ability to overcome the limitations of individual detection approaches and to improve the overall detection accuracy and speed. Moreover, this approach is less prone to false positives and negatives than unique detection approaches, as it combines different sources of information and analysis. However, hybrid detection is limited by its complexity and resource requirements, as it requires integrating and coordinating other detection systems and tools [31].
