Synchronization of Catch Fish Data in Fisheries e-Logbook with a Vessel Monitoring System

Wahab, Abdul; Waseso, Bayu; Pranoto, Hadi

doi:10.37869/ijatec.v2i1.43

Cited by 1 publication

(1 citation statement)

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“…This data is publicly receivable and can be purchased afterwards from service providers but lacks a fine-grained resolution. Vessel Traffic Services [38] use this data (along with other sensors such as radar, cameras, etc.) to provide live assistance and instructions [39].…”

Section: Further Approachesmentioning

confidence: 99%

Decentralized Documentation of Maritime Traffic Incidents to Support Conflict Resolution

Jankowski

Möller²,

Wiards³

et al. 2022

JMSE

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For the investigation of major traffic accidents, larger vessels are obliged to install a voyage data recorder (VDR). However, not every vessel is equipped with a VDR, and the readout is often a manual process that is costly. In addition, not only ship-related information can be relevant for reconstructing traffic accidents, but also information from other entities such as meteorological services or port operators. Moreover, another major challenge is that entities tend to trust only their records, and not those of others as these could be manipulated in favor of the particular recording entity (e.g., to disguise any damage caused). This paper presents an approach to documenting arbitrary data from different entities in a trustworthy, decentralized, and tamper-proof manner to support the conflict resolution process. For this purpose, all involved entities in a traffic situation can contribute to the documentation by persisting their available data. Since maritime stakeholders are equipped with various sensors, a diverse and meaningful data foundation can be aggregated. The data is then signed by a mutually agreed upon timestamping authority (TSA). In this way, everyone can cryptographically verify whether the data has been subsequently changed. This approach was successfully applied in practice by documenting a vessel’s mooring maneuver.

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Section: Further Approachesmentioning

confidence: 99%