Knowledge management of cyber security expertise: an ontological approach to talent discovery

Cyber security is a dynamic knowledge environment, where attracting talented people is paramount. However, current initiatives do not always use mechanisms able to search for suited individuals. Approaching cyber security as an organisation can help to manage capabilities and improve domain-oriented talent discovery. This paper presents an ontological approach to support talent discovery as a means of improving allocation of expertise for cyber security projects. A case study is conducted among experts in a cyber security community. Our method is capable of selecting, ranking and evaluating experts given a set of criteria specified in a project profile. The approach combines values of quantitative and qualitative nature provided by the profile owner and derived from external appraisals. Further, the ontology model delivers a systematic integration of talent practices, which embeds a feedback loop that favours ongoing continuous improvement. The model was successfully experimented and further appraised in terms of acceptance by a board of experts.

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