A Trust Model Based on Subjective Logic for Multi-Domains in Grids

Liu, Quan; Liao, Yeqing; Tang, Bing; Yu, Lei

doi:10.1109/paciia.2008.152

Cited by 12 publications

(5 citation statements)

References 13 publications

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“…A social trust model for node honesty for a secure clustering T node Honesty ab ðtÞ Node honesty will be calculated with respect to the direct interaction behaviour between the nodes, for this it is adapted subjective Logic process 37,38,39 which is Triplet T.…”

Section: Trust Computationmentioning

confidence: 99%

Social and QoS based trust model for secure clustering for wireless body area network

Ramaswamy

Norman

2020

International Journal of Electrical Engineering & Education

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Wireless Body Area Networks (WBAN) is an emerging technology, a subset of Wireless Sensor Network. WBAN is a collection of pieces of tiny wireless body sensors with small computational capability and communicates short distance using ZigBee or Bluetooth. The main application of WBAN is in healthcare industry like remote patient monitoring. The small pieces of sensor monitor health factors like body temperature, pulse rate, ECG, heart rate etc., and communicate it to the base station or central coordinator for aggregation or for data computation. The final data is communicated to remote monitoring devices through internet or cloud service providers. The main challenge of this technology is dead nodes due to high energy consumption with all the wireless node working on battery. Minimization of the energy consumption extends life of the network. Security is another major challenge. There are possibilities of internal attacks being executed by malicious nodes, creating problems for the network. This paper proposes a model which provides solution for extending the life span of the network by minimizing energy consumption and also proposes model to provide solution for internal soft attacks created within the network through calculation or trust, computation among nodes to identify malicious nodes with the help of social-and QoS-based trust computation for secure clustering and communication. The proposed model is compared with LEACH and LEACH-MM protocol and performance is measured with various parameters.

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Section: Trust Computationmentioning

confidence: 99%

Social and QoS based trust model for secure clustering for wireless body area network

Ramaswamy

Norman

2020

International Journal of Electrical Engineering & Education

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“…The trust value in the Subjective Logic framework is presented by a triplet T = {b, d, u}, where b, d and u correspond to belief, disbelief and uncertainty, respectively, b, d, u ∈ [0, 1], b + d + u = 1. Following the trust model based on Subjective Logic framework [16,17], node honesty (N H) can be calculated by:…”

Section: Calculation Of Direct Trustmentioning

confidence: 99%

An Attack-Resistant Trust Model Based on Multidimensional Trust Metrics in Underwater Acoustic Sensor Network

Han

Jiang

Shu

et al. 2015

IEEE Trans. on Mobile Comput.

143

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Underwater Acoustic Sensor Networks (UASNs) have been widely used in many applications where a variable number of sensor nodes collaborate with each other to perform monitoring tasks. A trust model plays an important role in realizing collaborations of sensor nodes. Although many trust models have been proposed for Terrestrial Wireless Sensor Networks (TWSNs) in recent years, it is not feasible to directly use these trust models in UASNs due to unreliable underwater communication channel and mobile network environment. To achieve accurate and energy efficient trust evaluation in UASNs, an Attack-Resistant Trust model based on Multidimensional trust Metrics (ARTMM) is proposed in this paper. The ARTMM mainly consists of three types of trust metrics, which are link trust, data trust, and node trust. During the process of trust calculation, unreliability of communication channel and mobility of underwater environment are carefully analyzed. Simulation results demonstrate that the proposed trust model is quite suitable for mobile underwater environment. In addition, the performance of the ARTMM is clearly better than that of conventional trust models in terms of both evaluation accuracy and energy consumption.

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“…In 2008 a way was found to model the trust which was played an important role in the progress of the discussion based on using private edges and multi domains [8] and eventually led to a design based on publish/subscribe [11] and expanded the concept of trust and reliability in the virtual environment of grid computing. Also in 2009 considering the proximity of concepts of trust and probability with Fuzzy an approach based on fuzzy logic was occupied by Chinese researchers [4] which was punishing the destroyer entity and removing it from the system at last and was estimating the reliability of the entities and using virtual machines to provide its services [3].…”

Section: Related Workmentioning

confidence: 99%

Trust management in grid computing systems based on probability theory

Ashrafijoo

Navin

Nia

et al. 2010

2010 2nd International Conference on Education Technology and Computer

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Grid computing systems are a distributed geographical environment where the resources of entities are shared between each other and defining the type of entities is fully in control of their owners. Each entity can apply kind of limitations to the use of its resources by other entities. Because the resources of the non homogeneous grid belong to the various places with various business policies, it is very important and complex to manage the behavior trust of the resources in return to the requested works. In this paper a new method is proposed to the ability of probability theory for managing the behavior trust in grid computing systems.

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A Trust Model Based on Subjective Logic for Multi-Domains in Grids

Cited by 12 publications

References 13 publications

Social and QoS based trust model for secure clustering for wireless body area network

Social and QoS based trust model for secure clustering for wireless body area network

An Attack-Resistant Trust Model Based on Multidimensional Trust Metrics in Underwater Acoustic Sensor Network

Trust management in grid computing systems based on probability theory

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