2020 International Workshop on Big Data and Information Security (IWBIS) 2020
DOI: 10.1109/iwbis50925.2020.9255532
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Designing Intelligent Coastal Surveillance based on Big Maritime Data

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Cited by 12 publications
(5 citation statements)
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References 13 publications
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“…It implies that Indonesian border authorities and agencies focus on their roles, responsibilities, and organizational [6]. It can happen in some situations, requiring a more detailed discussion about how these border agencies overlap when taking measures, patrolling, operations, investigations, and intelligence data sharing [14].…”
Section: Resultsmentioning
confidence: 99%
“…It implies that Indonesian border authorities and agencies focus on their roles, responsibilities, and organizational [6]. It can happen in some situations, requiring a more detailed discussion about how these border agencies overlap when taking measures, patrolling, operations, investigations, and intelligence data sharing [14].…”
Section: Resultsmentioning
confidence: 99%
“…The information obtained by a large number of sensors forms a big data database, and artificial intelligence technology can conduct in-depth mining and analysis of this data. For example, in [203] the combination of an automatic identification system, coastal radar system and long-range camera was used to monitor a marine field, and the collected massive heterogeneous data were processed using artificial intelligence technology so that the system could locate and track a target ship more accurately. • As privacy and security issues are gradually exposed in people's lives, blockchain technology has gradually gained a footing in the field of target tracking.…”
Section: Supervision Of Marine Vesselsmentioning
confidence: 99%
“…One of the key benefits of using drones in MPA management is their ability to conduct real-time monitoring of MPA boundaries [95]. Drones can cover large areas and capture aerial imagery, facilitating the detection of encroachments or illegal activities within the protected zones.…”
Section: Coastal Zone Ecological Monitoringmentioning
confidence: 99%