The construction of network power is inseparable from the support and guarantee of high-quality network security practical talents.Establishing such a system is crucial for nurturing talents with practical network security skills.However,there are problems such as single evaluation mode and differing evaluation standards in the traditional network security talent test and evaluation,which makes it difficult to make an accurate portrayal of the actual combat ability of talents.Therefore,a self-organizing neural network-based evaluation method for the actual combat ability of network security talents was proposed,which took the professional ability required in real business scenarios as the evaluation factor,classified the actual combat ability of network security talents,and evaluated the abilities of talents accurately and comprehensively.This evaluation method provides strong support and guidance for the training and selection of network security talents.
关键词
自组织网络/网络安全人才/人才实战能力/自组织映射
Key words
self-organizing network/network security talents/actual combat ability of talents/self-organizing mapping
维普
万方数据