Integration of a Bayesian network for response planning in a maritime piracy risk management system

Abstract

International audienceThis article describes an innovative system to protect offshore oil infrastructure against maritime piracy. To detect and respond efficiently to this threat, many factors must be taken into account, including the potential target, the protection methods already in place and operational and environmental constraints, etc. To improve the handling of this complex issue, we have designed a system to manage the entire processing chain; from threat identification to implementation of the response. The system implements Bayesian networks in order to capture the multitude of parameters and their inherent uncertainties, and to identify and manage potential responses. This article describes the system architecture, the integrated Bayesian network and its contribution to response planning

Application of Cloud Model and Bayesian Network to Piracy Risk Assessment

“…Besides, maritime piracy situation has been modeled by several methods, such as dynamic Bayesian network [8]. Bouejla et al [9,10] and Chaze [11] have applied Bayesian network and SARGOS system for modeling response decision and risk management systems for countering piracy attacks. Furthermore, risk assessments of maritime piracy have been carried out to assist ship owners and captains in managing risk during pirate attacks [12,13].…”