Knowledge management methodology for identifying threats in maritime/logistics supply chains

Abstract

The growing complexity and the heterogeneity of critical infrastructures (CIs) in multicultural maritime and logistics networks challenge existing methods and tools to dynamically respond to the frequent change of information and to the lack of efficiently sharing security knowledge over the supply chain. This fosters a semantic gap, which causes disintegration in the supply-chain workflow and attracts cyber-attackers attention. This paper proposes a knowledge management methodology and an associated tool for the maritime logistics and supply chain (MLoSC), which aims to enable the sharing of supply chain knowledge and suggests ways for identifying cyber threats over CIs. The methodology is illustrated via an indicative service (the vehicle transport service), examined in the context of three prominent maritime use cases. The proposed methodology is used to develop a knowledge base for the MLoSC using semantic web technologies.

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