Managing Trust and Detecting Malicious Groups in Peer-to-Peer IoT Networks

Alhussain, Alanoud; Kurdi, Heba; Altoaimy, Lina

doi:10.3390/s21134484

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…For improvement in accuracy, they processed the learning model by improving the routing direction and calculating the values of trust for all nodes in the IoT environment. Artificial Neural Networks (ANN): The researchers in [118] suggested an intelligent trust management system. the system utilised the ANN to make obtainable suggestions on the trustworthiness of each node and identifies the standard of an individual node, such as trustworthy or non-trustworthy.…”

Section: Direct Trust Evaluation Modelsmentioning

confidence: 99%

IoT trust and reputation: a survey and taxonomy

et al. 2023

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IoT is one of the fastest-growing technologies and it is estimated that more than a billion devices would be utilised across the globe by the end of 2030. To maximise the capability of these connected entities, trust and reputation among IoT entities is essential. Several trust management models have been proposed in the IoT environment; however, these schemes have not fully addressed the IoT devices’ features, such as device’s role, device type and its dynamic behavior in a smart environment. As a result, traditional trust and reputation models are insufficient to tackle these characteristics and uncertainty risks while connecting nodes to the network. Whilst continuous study has been carried out and various articles suggest promising solutions in constrained environments, research on trust and reputation is still at its infancy. In this paper, we carry out a comprehensive literature review on state-of-the-art research on the trust and reputation of IoT devices and systems. Specifically, we first propose a new structure, namely a new taxonomy, to organise the trust and reputation models based on the ways trust is managed. The proposed taxonomy comprises of traditional trust management-based systems and artificial intelligence-based systems, and combine both the classes which encourage the existing schemes to adapt these emerging concepts. This collaboration between the conventional mathematical and the advanced ML models result in design schemes that are more robust and efficient. Then we drill down to compare and analyse the methods and applications of these systems based on community-accepted performance metrics,e.g. scalability, delay, cooperativeness and efficiency. Finally, built upon the findings of the analysis, we identify and discuss open research issues and challenges, and further speculate and point out future research directions.

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Section: Direct Trust Evaluation Modelsmentioning

confidence: 99%

IoT trust and reputation: a survey and taxonomy

et al. 2023

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“… As member nodes can join from any part of the world, handling confidential data like medical health records becomes a really challenging issue.  It is difficult to build analytical data features in DHTbased systems as queries will be routed to different nodes in the P2P network [31]- [33]. This paper proposes a hybrid approach to overcome the shortcomings of DHT-based solutions.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Centralized Peer to Peer Architecture for Resource Discovery and Secure Communication in Internet of Things

Bhajantri¹,

S²

2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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The Internet of Things (IoT) made communication between people and objects easy. It helps to build smart cities, homes, manufacturing systems, health monitoring systems, etc., for mankind. The increased adoption of IoT applications enabled many smart devices on the Internet platform. These devices deployed across the globe may have varying computational and communication capabilities. It is a great challenge to manage IoT resources efficiently. Some of well-known protocols are defined to identify and access IoT resources locally in a real-world environment. Many authors have adopted the Distributed Hash Table (D.H.T.) based Peer to Peer (P2P) model for global and massive resource management. However, D.H.T. based solutions have many shortcomings and are not perfectly suitable for the IoT domain. In this paper, it has been proposed a novel Hybrid Centralized Peer to Peer (HCP2P) architecture for efficient resource discovery and access mechanism. The proposed solution builds a secure communication channel among trusted peer devices with the aid of an HCP2P server. The trusted devices can discover and access the required resource efficiently and securely with reduced load on the central server. The proposed HCP2P solutions are evaluated on both hardware prototypes and simulations. The proposed model gives almost constant resource registration, discovery, and access time. This evaluation showed that HCP2P architecture performance is superior to traditional DHT-based P2P architecture. Finally, the performance parameters of the proposed scheme are evaluated in terms of resource registration time, discovery time, and hop-count.

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