An early warning model for pirate attacks

SUN Mao-jin; LV Jing; GAO Tian-hang; SUN Xiao-shan

doi:10.16411/j.cnki.issn1006-7736.2018.03.005

Journal of Dalian Maritime University >

2018 , Vol. 44 >Issue 3: 28 - 32

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2018.03.005

An early warning model for pirate attacks

SUN Mao-jin ,
LV Jing ,
GAO Tian-hang ,
SUN Xiao-shan

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(1.Transportation Engineering College, Dalian Maritime University, Dalian 116026, China;2.College of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China)

Received date: 2018-03-22

Revised date: 2018-06-13

Online published: 2024-06-27

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Abstract

A scientific early warning model for pirate attack was built, which can give early warning information before the pirate attack, and greatly reduce the probability of the ship being attacked by pirates. The decision tree method was used to study the correlation between the severity of piracy attacks and other factors, so as to conduct maritime early warning. Taking ship type and geographical area as model input data and pirate attack consequence as model output data, a pirate attack early warning model was constructed. The case study of pirate attacks in East Africa was conducted and model checking was carried out. Results show that the prediction result obtained by this method is much better than that of random guess, which proves the validity and scientificity of the model.

Key words： ship security; pirates attack; early warning model; decision tree

Cite this article

SUN Mao-jin , LV Jing , GAO Tian-hang , SUN Xiao-shan . An early warning model for pirate attacks[J]. Journal of Dalian Maritime University, 2018 , 44(3) : 28 -32 . DOI: 10.16411/j.cnki.issn1006-7736.2018.03.005

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