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An expert-based method for the risk assessment of anomalous maritime transportation data
Highlights We propose a method aiming at reducing the cognitive load of maritime operators. An integrity assessment and risk analysis of AIS messages is proposed. Maritime risks are assessed on human, infrastructural and environmental dimensions. Alerts based on risk level computation are proposed to guide operators. We consider several situations such as vessel collision, grounding or illegal actions.
Abstract Risks in maritime navigation linked to cyberthreats emerge, and they must be assessed together with the more traditional risks such as grounding or colliding another vessel, as now the latter might be the consequence of a cyberattack. The fields of mobility and transportation data see vulnerabilities of navigation systems jeopardising their normal use, and putting both users and their environment at risk. In this article, we propose a method based on expert knowledge for the risk assessment of cyberthreats in maritime transportation data. A specific focus is proposed on the AIS (Automatic Identification System), a world-wide message-based vessel localisation system that has demonstrated weaknesses allowing errors, falsification and spoofing of its transmitted data. The discovery of abnormal reporting cases is assessed by an expert-designed rule-based analysis frame resulting in the triggering of alerts and the assignment of risk levels, tailored to increase the awareness of the people in charge of monitoring the maritime traffic.
An expert-based method for the risk assessment of anomalous maritime transportation data
Highlights We propose a method aiming at reducing the cognitive load of maritime operators. An integrity assessment and risk analysis of AIS messages is proposed. Maritime risks are assessed on human, infrastructural and environmental dimensions. Alerts based on risk level computation are proposed to guide operators. We consider several situations such as vessel collision, grounding or illegal actions.
Abstract Risks in maritime navigation linked to cyberthreats emerge, and they must be assessed together with the more traditional risks such as grounding or colliding another vessel, as now the latter might be the consequence of a cyberattack. The fields of mobility and transportation data see vulnerabilities of navigation systems jeopardising their normal use, and putting both users and their environment at risk. In this article, we propose a method based on expert knowledge for the risk assessment of cyberthreats in maritime transportation data. A specific focus is proposed on the AIS (Automatic Identification System), a world-wide message-based vessel localisation system that has demonstrated weaknesses allowing errors, falsification and spoofing of its transmitted data. The discovery of abnormal reporting cases is assessed by an expert-designed rule-based analysis frame resulting in the triggering of alerts and the assignment of risk levels, tailored to increase the awareness of the people in charge of monitoring the maritime traffic.
An expert-based method for the risk assessment of anomalous maritime transportation data
Iphar, Clément (author) / Napoli, Aldo (author) / Ray, Cyril (author)
Applied Ocean Research ; 104
2020-08-18
Article (Journal)
Electronic Resource
English
The Multi-State Maritime Transportation System Risk Assessment and Safety Analysis
| DOAJ | 2020
Elsevier | 1992
Elsevier | 1993