ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume II-3/W5
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 291–296, 2015
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W5, 291–296, 2015

  20 Aug 2015

20 Aug 2015


C. Iphar1, A. Napoli1, and C. Ray2 C. Iphar et al.
  • 1Centre for Research on Risks and Crises, MINES ParisTech, PSL – Research Unisersity - Sophia Antipolis, France
  • 2Naval Academy Research Institute (IRENav), Brest, France

Keywords: Maritime positioning data, Data quality, data falsification

Abstract. The Automatic Identification System (AIS) initially designed to ensure maritime security through continuous position reports has been progressively used for many extended objectives. In particular it supports a global monitoring of the maritime domain for various purposes like safety and security but also traffic management, logistics or protection of strategic areas, etc. In this monitoring, data errors, misuse, irregular behaviours at sea, malfeasance mechanisms and bad navigation practices have inevitably emerged either by inattentiveness or voluntary actions in order to circumvent, alter or exploit such a system in the interests of offenders. This paper introduces the AIS system and presents vulnerabilities and data quality assessment for decision making in maritime situational awareness cases. The principles of a novel methodological approach for modelling, analysing and detecting these data errors and falsification are introduced.