Detection of false AIS messages for the improvement of maritime situational awareness

Iphar, Clément; Napoli, Aldo; Ray, Cyril

doi:10.23919/oceans.2015.7401841

Cited by 33 publications

(22 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There are 27 different types of AIS messages which can be broadcast. The content of AIS messages varies widely according to the type (Iphar et al, 2015). This paper mainly focuses on position reports (message 1, message 18) and static information reports (message 5, message 19).…”

Section: Ais Data Materials and Errorsmentioning

confidence: 99%

Ship Trajectories Pre-processing Based on AIS Data

2018

View full text Add to dashboard Cite

Data derived from the Automatic Identification System (AIS) plays a key role in water traffic data mining. However, there are various errors regarding time and space. To improve availability, AIS data quality dimensions are presented for detecting errors of AIS tracks including physical integrity, spatial logical integrity and time accuracy. After systematic summary and analysis, algorithms for error pre-processing are proposed. Track comparison maps and traffic density maps for different types of ships are derived to verify applicability based on the AIS data from the Chinese Zhoushan Islands from January to February 2015. The results indicate that the algorithms can effectively improve the quality of AIS trajectories.

show abstract

Section: Ais Data Materials and Errorsmentioning

confidence: 99%

Ship Trajectories Pre-processing Based on AIS Data

2018

View full text Add to dashboard Cite

show abstract

“…Previous research on data quality in the maritime domain mainly concerned the quality of AIS data (such as completeness of AIS messages, their accuracy, integrity, etc.) (MMO 2013;Harati-Mokhtari et al 2007;Iphar et al 2015). However, the methodologies and quality attributes proposed there do not fit well with the assessment of other maritime-related sources of data, especially data published on the Internet.…”

Section: Quality Measuresmentioning

confidence: 99%

A framework for the quality-based selection and retrieval of open data - a use case from the maritime domain

et al. 2017

View full text Add to dashboard Cite

The paper presents a proposal for a framework for the identification, assessment and selection of open data sources based on certain quality criteria, such as accessibility, relevance, accuracy & reliability, clarity, timeliness & punctuality, and coherence & comparability. The framework concerns mainly open data sources and focuses on their quality. The open data are used to enhance existing internal data and to fuse them with data from other sources. The framework consists of few steps starting from definition of quality criteria based on review of relevant literature and user requirements, then identification of potential sources, sources assessment and selection, and finally data retrieval process. For each step, a specific approach is described, how it may be conducted in practice. The proposed framework is evaluated using a real use case scenario from the maritime domain. The main approach utilized in this use-case is the Delphi method with some characteristics of Analytic Hierarchy Process.

show abstract

“…Quantitative AIS performance can be measured by comparing the number of messages received by the space-based AIS system to another AIS system such as terrestrial-based AIS [14]. The other one, qualitative AIS performance, can be assessed by comparing the portion of valid messages to all received messages containing erroneous data [15].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Space-Based AIS Antenna Orientation on In-Orbit AIS Detection Performance

et al. 2019

View full text Add to dashboard Cite

In this paper, a study on the impact of changing the space-based Automatic Identification System (AIS) monopole antenna orientation on its message reception performance in orbit has been conducted. The study has been carried out by maneuvering the attitude of LAPAN-A2, an equatorial orbiting microsatellite with AIS antenna fixedly mounted on the satellite's body, into the desired orientation. Based on the analysis of the datasets collected during the maneuver, the orientation of AIS monopole antenna 45 • toward its flight direction increases the overall detection performance of the AIS message, including class A ship to 208.80% and also class B ships to 175.93%. This orientation also increases the detection of AIS messages in ocean areas having low detection probability due to AIS signal collision. The result of this research could become a reference in order to specify AIS antenna position and orientation in a small satellite carrying a space-based AIS system for maritime surveillance & monitoring purposes.

show abstract

Detection of false AIS messages for the improvement of maritime situational awareness

Cited by 33 publications

References 9 publications

Ship Trajectories Pre-processing Based on AIS Data

Ship Trajectories Pre-processing Based on AIS Data

A framework for the quality-based selection and retrieval of open data - a use case from the maritime domain

The Impact of Space-Based AIS Antenna Orientation on In-Orbit AIS Detection Performance

Contact Info

Product

Resources

About