A trustable architecture over blockchain to facilitate maritime administration for MASS systems

Wang, Yang; Chen, Peng; Wu, Bing; Wan, Chengpeng; Yang, Zaili

doi:10.1016/j.ress.2021.108246

Cited by 20 publications

(14 citation statements)

References 64 publications

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“…Autonomous vehicles are another potent area for exploration, with one study developing a blockchain-based system to improve security in Maritime Autonomous Surface Ships (MASS) [105]. Li et al [106] discussed confidentiality, availability, and completeness in Autonomous Navigation technologies.…”

Section: Technology Infrastructure Resiliencementioning

confidence: 99%

Comprehensive Analysis of Maritime Cybersecurity Landscape Based on the NIST CSF v2.0

Dimakopoulou,

Rantos

2024

JMSE

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As technology advances and digitalization becomes more prevalent in the industry, the cyber threats to maritime systems and operations have significantly increased. The maritime sector relies heavily on interconnected networks, communication systems, and sophisticated technologies for its operations, making it an attractive target for cybercriminals, nation-states, and other threat actors. Safeguarding the maritime sector against cyber threats is crucial to ensuring the safety, integrity, and efficiency of maritime operations as well as for protecting sensitive information and global trade. The International Maritime Organization (IMO) has played a significant role in addressing cybersecurity issues, leading to the implementation of regulations aimed at risk reduction. This paper delves into the realm of cybersecurity within the maritime industry, offering an in-depth analysis of its various aspects through an extensive literature review based on the latest Version 2.0 of the National Institute of Standards and Technology’s (NIST) Cybersecurity Framework (CSF) functional areas. The primary objective is to establish a connection between research and NIST’s functions and categories, thereby presenting a nascent perspective and identifying existing security research gaps. Through the adoption of this strategic approach, the present paper aims to cultivate a forward-looking and proactive state of maturity in anticipation of future developments within the maritime industry. The outcomes of this research can provide valuable reference points in academic discourse, potentially leading to new hypotheses, and fuel innovation in developing advanced cybersecurity measures within the maritime industry.

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Section: Technology Infrastructure Resiliencementioning

confidence: 99%

Comprehensive Analysis of Maritime Cybersecurity Landscape Based on the NIST CSF v2.0

Dimakopoulou,

Rantos

2024

JMSE

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“…Wu et al [16] reviewed the methods and technologies of human and organizational factors in maritime risk analysis, and pointed out that the development of autonomous ships brought new changes and challenges to maritime risk analysis. As the future direction and research hotspot of intelligent shipping, an important contribution of maritime autonomous surface ship (MASS) is to reduce the impact of human factors on ship safety through the use of intelligent technology [17], although it might brought new types of risks such as cyberattacks [18]. However, in different stages of the development of ship autonomy, human factors still have an important impact.…”

Section: Maritime Risk Analysis and Risk Evolution Analysismentioning

confidence: 99%

Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN

Guo

Jin

et al. 2023

Reliability Engineering & System Safety

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“…Thus, the existing systems were plagued by the single point of failure and bottleneck issues, in addition to the numerous disadvantages previously mentioned 32 , 33 . Data security and privacy concerns arise in decentralized schemes where the roles of trading entities are fluid 24 , 34 . Similarly, trust ratings in a specific area can be altered relatively easily.…”

Section: Related Workmentioning

confidence: 99%

MarketTrust: blockchain-based trust evaluation model for SIoT-based smart marketplaces

Latif

Yakubu

Saba

2023

Sci Rep

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Due to the significance of trust in Social Internet of Things (SIoT)-based smart marketplaces, several research have focused on trust-related challenges. Trust is necessary for a smooth connection, secure systems, and dependable services during trade operations. Recent SIoT-based trust assessment approaches attempt to solve smart marketplace trust evaluation difficulties by using a variety of direct and indirect trust evaluation techniques and other local trust rating procedures. Nevertheless, these methodologies render trust assessment very sensitive to seller dishonesty, and a dishonest seller may influence local trust scores and at the same time pose a significant trust related threats in the system. In this article, a MarketTrust model is introduced, which is a blockchain-based method for assessing trust in an IoT-based smart marketplace. It has three parts: familiarity, personal interactions, and public perception. A conceptual model, assessment technique, and a global trust evaluation system for merging the three components of a trust value are presented and discussed. Several experiments were conducted to assess the model's security, viability, and efficacy. According to results, the MarketTrust model scored a 21.99% higher trust score and a 47.698% lower average latency than both benchmark models. Therefore, this illustrates that using the proposed framework, a potential buyer can efficiently choose a competent and trustworthy resource seller in a smart marketplace and significantly reduce malicious behavior.

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A trustable architecture over blockchain to facilitate maritime administration for MASS systems

Cited by 20 publications

References 64 publications

Comprehensive Analysis of Maritime Cybersecurity Landscape Based on the NIST CSF v2.0

Comprehensive Analysis of Maritime Cybersecurity Landscape Based on the NIST CSF v2.0

Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN

MarketTrust: blockchain-based trust evaluation model for SIoT-based smart marketplaces

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