Abnormal Behaviour Detection by Using Machine Learning-Based Approaches in the Marine Environment: A Literature Survey

F Farahnakian, J Heikkonen… - … Conference on Electrical …, 2022 - ieeexplore.ieee.org
At this critical juncture in the world, maritime traffic and naval monitoring have become one
of the hottest topics among governments to keep the marine environment safe for exporting …

A comprehensive survey on the applications of machine learning techniques on maritime surveillance to detect abnormal maritime vessel behaviors

C Gamage, R Dinalankara, J Samarabandu… - WMU Journal of …, 2023 - Springer
Automated surveillance systems are becoming a critical requirement in maritime domain,
due to the continuous expansion of maritime security threats. Although several automated …

Study of automatic anomalous behaviour detection techniques for maritime vessels

A Sidibé, G Shu - The journal of Navigation, 2017 - cambridge.org
The maritime domain is the most utilised environment for bulk transportation, making
maritime safety and security an important concern. A major aspect of maritime safety and …

Anomalous behavior detection of marine vessels based on Hidden Markov Model

KF Toloue, MV Jahan - 2018 6th Iranian Joint Congress on …, 2018 - ieeexplore.ieee.org
In recent years, marine traffic has increased dramatically. Therefore, some vessels may
show abnormal behaviors which may indicate different dangers or threats, and also …

Data-driven methods for detection of abnormal ship behavior: Progress and trends

Y Wang, J Liu, RW Liu, Y Liu, Z Yuan - Ocean Engineering, 2023 - Elsevier
Maritime traffic safety influences the development of world economies. A major aspect to
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …

[PDF][PDF] Abnormal vessel behavior detection based on AIS Data

S Zhang, Q Tang - Artificial Intelligence and Robotics Research, 2015 - scholar.archive.org
Maritime behavior detection is critical for maritime surveillance and management. It is
important for ship's safe sailing, normal production at ports, marine environmental protection …

Challenges in vessel behavior and anomaly detection: From classical machine learning to deep learning

L May Petry, A Soares, V Bogorny, B Brandoli… - Advances in Artificial …, 2020 - Springer
The global expansion of maritime activities and the development of the Automatic
Identification System (AIS) have driven the advances in maritime monitoring systems in the …

Online Ornstein–Uhlenbeck based anomaly detection and behavior classification using AIS data in maritime

B Zaman, D Marijan, T Kholodna - Ocean Engineering, 2024 - Elsevier
Detecting anomalies in maritime systems involves recognizing vessel patterns that are not in
line with what is expected or planned prior to the voyage. These patterns are identified for a …

[PDF][PDF] Detection of Abnormal Vessel Behaviours Based on AIS Data Features Using HDBSCAN+.

R Hari Kumar, CP Ramanarayanan… - Defence Science Journal, 2023 - core.ac.uk
Achieving maritime security is challenging due to the vastness and complexity of the
domain. Monitoring all vessels that use this medium is humanly impossible but is needed for …

Abnormal behavior detection of vessels based on deep learning algorithm: case study

Y Zang, L Deng, S Sun, Y Ai, D Geng… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Abnormal behavior detection for vessels is vital to satisfy the reliability and safety
requirements of maritime transportation. The current detection method is manual analysis …