船联网上基于区块链的航行事件信息过滤方法
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作者单位:

1. 武汉理工大学 水路交通控制全国重点实验室,武汉 430063;2. 武汉理工大学 智能交通系统研究中心,武汉 430063;3. 武汉理工大学 交通与物流工程学院,武汉 430063;4. 长江水上交通监测与应急处置中心,武汉 430014

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E-mail: bing.wu@whut.edu.cn.

中图分类号:

U698

基金项目:

湖北省自然科学基金项目(2021CFB324);国家自然科学基金项目(52372320,52272422).


Blockchain-based information filtering method for navigational events within internet of ships
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Affiliation:

1. State Key Laboratory of Maritime Technology and Safety,Wuhan University of Technology,Wuhan 430063,China;2. Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan 430063,China;3. School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China;4. Yangtze River Waterway Transportation Monitoring and Emergency Center,Wuhan 430014,China

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    摘要:

    船联网(internet of vehicle,IoS)是船舶信息交换的载体.基于区块链技术,在IoS上构建一种可信的信息交换机制,并提出相应的航行事件置信度计算与船舶信誉管理方案.该方案借鉴信息过滤的思想得到船舶综合相似度,利用加权熵值反向计算融合的评级,根据回应船舶评级偏离融合评级的程度更新回应船舶的信誉值;然后采用最小二乘法建立信誉值倒数与评级误差之间的拟合关系,从而得以更新报告船舶的信誉值;进一步设计基于船舶信誉值的DPoS(delegated proof of stake)共识机制,旨在优先选择信誉值较高的船舶作为见证者船舶,以保障系统出块环境的稳定性和高效性.结果显示,在船舶滥用行为占比为40%的情况下,航行事件真实性判定的准确率仍在75%以上.研究表明,所提出的方案不仅有效提高了航行事件真实性判定的准确率,还能识别恶意船舶并限制其滥用行为,从而保证IoS环境的安全和稳定.

    Abstract:

    The internet of ships(IoS) serves as the carrier for maritime information exchange. Based on the blockchain technology, this paper aims to establish a reliable information exchange mechanism on the IoS by using a credibility calculation method for navigation events in the IoS and a reputation management scheme for the ships involved. This scheme draws on the principles of information filtering to obtain the comprehensive similarity of ships, calculates the fused rating through reverse computation of weighted entropy, and then updates the reputation value of responding ships based on the deviation between their rating and the fused rating. Afterwards, the paper establishes a fitting relationship between the reciprocal of reputation value and rating error using the least squares method, so that the reputation value of the reporting ship is computed and updated. In addition, a delegated proof of stake(DPoS) consensus mechanism is developed, which depends on the reputation values of ships. This mechanism prioritizes the selection of ships with higher reputation values as witness ships to maintain the stability and efficiency of the system's blocking environment. Empirical results demonstrate the effectiveness of the proposed scheme, showing that under conditions of 40% ship misuse, the accuracy of authenticating navigational events remains above 75%. The study confirms that the proposed scheme not only improves the accuracy of authenticity determination, but also skillfully identifies and restricts the activities of malicious vessels. This helps to strengthen the security and stability of the IoS environment.

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汪洋,叶挺,陈志强,等.船联网上基于区块链的航行事件信息过滤方法[J].控制与决策,2025,40(1):148-154

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  • 在线发布日期: 2024-12-12
  • 出版日期: 2025-01-20
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