LBTM: A lightweight blockchain-based trust management system for social internet of things

Amiri-Zarandi, Mohammad; Dara, Rozita; Fraser, Evan D. G.

doi:10.1007/s11227-021-04231-3

Cited by 32 publications

(8 citation statements)

References 37 publications

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“…Sovetov used a spatial decision support system to solve the problems of shipping route and shipping information management [14]. Amiri zarandi introduced the construction and application of GIS in inland water transportation in Germany [15]. Liu introduced the application of modern information technology in European inland river transport traffic management [16].…”

Section: Literature Reviewmentioning

confidence: 99%

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

Chen

2022

Journal of Control Science and Engineering

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Combined with the YOLOv3 algorithm, the Darknet network developed on the Internet of Things offers boat maintenance, design, and deployment to meet the needs of developing and implementing the Internet of Things-based ship management. System maintenance was completed, solving the problem of care and identifying the vessels in the water important for care. Based on this, the YOLOv3 algorithm has been reported to achieve the target thinking based on the global data map, and the target area thinking and the distribution plan need to be set into a standard neural network. Add a penalty for fixing the boat to different parts of the system together. Binarily divide the needs by a set of logistic regression, allowing rapid tracking and identification of goals in high-risk situations. Experimental results show that the average validation rate of this study’ standard is 89.5% at 30 frames per second. Compared with traditional and in-depth training, this data algorithm is not only more practical and accurate but also more efficient in learning algorithms and various environments. The switches are more flexible and can control multiple ships and their essentials.

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Section: Literature Reviewmentioning

confidence: 99%

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

Chen

2022

Journal of Control Science and Engineering

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“…Most recently, an artificial neural network-based trustworthy object classification model for SIoT (referred to as "Trust-SIoT ") is delineated that considers a number of trust features, i.e., direct trust, indirect trust as a recommendation, the credibility of the recommending objects in terms of their reliability and benevolence, and the social similarity, to classify the SIoT objects as trustworthy, untrustworthy or neutral [21]. As of late, a number of studies staged the idea to employ blockchain-based trust models [30][31] [32], e.g., a lightweight blockchain-based trust evaluation mechanism is introduced [30], wherein the SIoT relationships among the objects are considered in the form of a social network. Moreover, an Ethereum platform is utilized to realize the validity of the model in detecting the untrustworthy SIoT object performing trust-related attacks.…”

Section: State-of-the-artmentioning

confidence: 99%

Trust–SIoT: Toward Trustworthy Object Classification in the Social Internet of Things

Sagar

Mahmood

Wang

et al. 2023

IEEE Trans. Netw. Serv. Manage.

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The emerging yet promising paradigm of the Social Internet of Things (SIoT) integrates the notion of the Internet of Things with human social networks. In SIoT, objects, i.e., things, have the capability to socialize with the other objects in the SIoT network and can establish their social network autonomously by modeling human behaviour. The notion of trust is imperative in realizing these characteristics of socialization in order to assess the reliability of autonomous collaboration. The perception of trust is evolving in the era of SIoT as an extension to traditional security triads in an attempt to offer secure and reliable services, and is considered as an imperative aspect of any SIoT system for minimizing the probable risk of autonomous decision-making. This research investigates the idea of trust quantification by employing trust measurement in terms of direct trust, indirect trust as a recommendation, and the degree of SIoT relationships in terms of social similarities (communityof-interest, friendship, and co-work relationships). A weighted sum approach is subsequently employed to synthesize all the trust features in order to ascertain a single trust score. The experimental evaluation demonstrates the effectiveness of the proposed model in segregating trustworthy and untrustworthy objects and via identifying the dynamic behaviour (i.e., trust-related attacks) of the SIoT objects.

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“…Amiri-Zarandi et al [9] proposed a fog architecture scheme. The interactions between the nodes and the blockchain can occur directly or via edge nodes.…”

Section: Blockchain Basedmentioning

confidence: 99%

A Survey of Trust Management for Internet of Things

Konsta,

Lafuente,

Dragoni

2023

IEEE Access

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Internet of Things (IoT) is a network of devices that communicate with each other through the internet and provide intelligence to industry and people. These devices are running in potentially hostile environments, so the need for security is critical. Trust management aims to ensure the reliability of the network by assigning a trust value to every node, indicating its trust level. In this paper, we systematically review and analyze the current state of the art in trust management appraoches for IoT. We provide a classification into nine categories based on the tools, methods, and technologies used to form trust management techniques (collect information for trust formation, compute, and store the trust values). We also discuss the limitations and strengths of each category, as well as the open challenges and future research directions. We aim to help the reader understand the current challenges of the field, design a solid trust management system, and navigate through the literature.

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LBTM: A lightweight blockchain-based trust management system for social internet of things

Cited by 32 publications

References 37 publications

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm

Trust–SIoT: Toward Trustworthy Object Classification in the Social Internet of Things

A Survey of Trust Management for Internet of Things

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