Trust Model for IoT Using Cluster Analysis: A Centralized Approach

Mon, S. Feslin Anish; Winster, S. Godfrey; Ramesh, R.

doi:10.1007/s11277-021-08401-7

Cited by 15 publications

(16 citation statements)

References 32 publications

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“…The simulation experiments of the proposed BFPSMTM and the comparative CATEM, 13 ONDM, 14 MPTPM, 11 and GTMF 12 schemes are conducted using IoT Simulator. In specific, NET‐based Distributed Trust Management Simulator 19 is utilized for facilitating the option of implementing the proposed dynamic trust management model that aids in calculating the trust value of a node.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Mon et al 13 proposed a Cluster Analysis‐based Trust Estimation and Management (CATEM) scheme was proposed for handling the issues and challenges inherent with IoT scenario. It was proposed with significant trust evaluation strategy that aids in assessing and planning solutions for attaining solutions in IoT environment.…”

Section: Related Workmentioning

confidence: 99%

“…After identification of PF along with the criterion weights by the agents involved in the decision-making process, the preference index of the alternatives using multiple criterion is found for finding whether they are compromised. This preference index π, N A c 1 , N A c 2 found using the weighted average by applying over the PF (P pj φω ð Þ) is shown in Equation (13).…”

Section: Step 4: Compute the Deviance In Trust Amid Alternatives Base...mentioning

confidence: 99%

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Bipolar Fuzzy PROMETHEE‐based Decision‐Making Trust Model for guaranteeing data dissemination reliability in Internet of Things

Duraisamy

Amalraj²,

Ramaiah

2022

Int J Communication

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Internet of Things (IoT) is the rapidly growing domain that facilitates seamless connectivity to physical objects that makes them suitable and ideal entity of smart environment. The enforcement of trust between the physical objects is essential for completely utilizing the significant potentiality of these connected IoT objects. The traditional security strategies are not potent enough in provisioning comprehensive protection to the smart world. In this paper, Bipolar Fuzzy PROMETHEE-based Decision-Making Trust Model (BFPSMTM) is

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Step 4: Compute the Deviance In Trust Amid Alternatives Base...mentioning

confidence: 99%

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Bipolar Fuzzy PROMETHEE‐based Decision‐Making Trust Model for guaranteeing data dissemination reliability in Internet of Things

Duraisamy

Amalraj²,

Ramaiah

2022

Int J Communication

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“…In this architecture, the main node calculates and analyzes the trust value to determine whether to transfer the packet to the next node or drop the packet [15]. The model considers packet forwarding capacity, repetition rate, consistency of the packet content, delay and integrity into consideration as trust factors [25,26]. The model utilizes the information entropy theory to determine each decision factor's weight.…”

Section: Related Workmentioning

confidence: 99%

TRUSED: A Trust-Based Security Evaluation Scheme for A Distributed Control System

Ali¹,

Anwar²

2023

Computers, Materials &Amp; Continua

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Distributed control systems (DCS) have revolutionized the communication process and attracted more interest due to their pervasive computing nature (cyber/physical), their monitoring capabilities and the benefits they offer. However, due to distributed communication, flexible network topologies and lack of central control, the traditional security strategies are inadequate for meeting the unique characteristics of DCS. Moreover, malicious and untrustworthy nodes pose a significant threat during the formation of a DCS network. Trust-based secure systems not only monitor and track the behavior of the nodes but also enhance the security by identifying and isolating the malicious node, which reduces the risk and increases network lifetime. In this research, we offer TRUSED, a trust-based security evaluation scheme that both, directly and indirectly, estimates each node's level of trustworthiness, incorporating the cumulative trust concept. In addition, simulation results show that the proposed technique can effectively identify malicious nodes, determine their node's trustworthiness rating, and improve the packet delivery ratio.

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“…Its architecture consists of three layers, which are the perception, network, and application layers [4], as shown in Figure 1. At the perception layer, the actuator/sensor node performs sensing, processing, storage and transmission of data to the network layer.…”

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confidence: 99%

Trust Evaluation Model in IoT Environment: A Comprehensive Survey

2023

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The Internet of Things (IoT) is a rapidly evolving field that provides seamless connections to a physical object, making it part of a smart environment. To fully realize the potential power of the connections between these objects in IoT, trust between them is critical. Conventional security measures are not sufficient to provide comprehensive security for this smart world. Trust is used to reduce the risk of insecurity when nodes are connected to the Internet. In an IoT environment, various trust models have been proposed for Wireless Sensor Networks (WSNs) and Radio Frequency Identification (RFID). Nevertheless, these are not fully adapted to the dynamic and uncertain environment of the intelligent IoT. Therefore, this article reviews the characteristics of recent works in IoT trust models. A comprehensive study has been conducted on the classification of trust models. A set of factors are discussed, such as trust characteristics, trust architecture, trust distribution, trust aggregation technique, trust model type, and attack type. In addition, this paper provides readers with an understanding of the current existing trust model and directs future works to propose new models that satisfy all characteristics that should be considered when developing a trust model. Finally, some research challenges and directions are identified.INDEX TERMS Internet of Things, wireless sensor network, radio frequency identification, trust model.

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Trust Model for IoT Using Cluster Analysis: A Centralized Approach

Cited by 15 publications

References 32 publications

Bipolar Fuzzy PROMETHEE‐based Decision‐Making Trust Model for guaranteeing data dissemination reliability in Internet of Things

Bipolar Fuzzy PROMETHEE‐based Decision‐Making Trust Model for guaranteeing data dissemination reliability in Internet of Things

TRUSED: A Trust-Based Security Evaluation Scheme for A Distributed Control System

Trust Evaluation Model in IoT Environment: A Comprehensive Survey

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