Abstract

International audience; Nowadays, oil tankers represent 25% of the targets of maritime piracy attacks. The main goal of this paper is to propose an approach to evaluate the vulnerability of the maritime supply chain to piracy risk. This approach, based on spatial reasoning and modelling tend to measure the impact of piracy on the network by the changes on maritime network realized by disruptions. To achieve it, we use multi-agent system, which can be defined by a set of agent within a shared environment. Agents are entity which has their own goal, capacity and resources which induce a specific behavior. By using the sum of these behaviors, the main objective of this paper is to measure disruptions by a conceptual approach to qualify and quantify the piracy risk.

Abstract

International audience; On board vessels, the Automatic Identification System sends and receives localization messages and enables vessels to better understand their surroundings. Initiated by the Safety Of Life At Sea convention, this system is used for navigation security and safety, boarding prevention, fleet control or traffic control. Some of the messages broadcasted contain errors, falsification and undergo spoofing that weaken the capaci-ties of the system to achieve its goals. This paper presents a risk analysis study of the Automatic Identification System that leads to the identification of circa 350 threat scenarios. A typology of anomalies is proposed, alongside with a methodology for anomaly detection. The objectives are the determination of the false mes-sages and the improvement of both the effectiveness of the system as a security system and the maritime situa-tional awareness.

Abstract

vailable: http://ap-s.ei.tuat.ac.jp/isapx/2008/pdf/1645005.pdf; International audience; Introduction: Constant growth of world maritime transport and significant economic stakes of territorial water management have prompted the international community to invest in maritime global security research. In this context, the ScanMaris project, which is founded by the French National Research Agency (ANR), aims to continuously monitor activities in the Exclusive Economic Zone (EEZ) activities and detect abnormal behavior using both observation systems and external data sources.