scholarly journals BeTrust: A Dynamic Trust Model Based on Bayesian Inference and Tsallis Entropy for Medical Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yan Gao ◽  
Wenfen Liu
Keyword(s):  
Bayesian Inference ◽  
Sensor Networks ◽  
Rapid Development ◽  
Trust Model ◽  
Tsallis Entropy ◽  
Single Node ◽  
Trust Mechanism ◽  
Trust Value ◽  
Medical Sensor Networks ◽  
Definition Of

With the rapid development and application of medical sensor networks, the security has become a big challenge to be resolved. Trust mechanism as a method of “soft security” has been proposed to guarantee the network security. Trust models to compute the trustworthiness of single node and each path are constructed, respectively, in this paper. For the trust relationship between nodes, trust value in every interval is quantified based on Bayesian inference. A node estimates the parameters of prior distribution by using the collected recommendation information and obtains the posterior distribution combined with direct interactions. Further, the weights of trust values are allocated through using the ordered weighted vector twice and overall trust degree is represented. With the associated properties of Tsallis entropy, the definition of path Tsallis entropy is put forward, which can comprehensively measure the uncertainty of each path. Then a method to calculate the credibility of each path is derived. The simulation results show that the proposed models can correctly reflect the dynamic of node behavior, quickly identify the malicious attacks, and effectively avoid such path containing low-trust nodes so as to enhance the robustness.

Research on the Time Synchronization Technology of Wireless Sensor Network

2014 ◽  
Vol 1070-1072 ◽  
pp. 2033-2036
Author(s):  
Ya Qin Fan ◽  
Jing Ya Wang ◽  
Shu Ting Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Time Synchronization ◽  
Rapid Development ◽  
Wireless Sensor ◽  
Practical Significance ◽  
Basic Characteristics ◽  
Definition Of

The paper studies the basic characteristics and the definition of the wireless sensor networks, the time synchronization of wireless sensor network and the algorithm of time synchronization in wireless sensor networks. This paper studies the RBS algorithm and its improved algorithm. The research results have practical significance to the rapid development of network and the future network.

scholarly journals Research of vehicular cloud storage resource management based on trust mechanism

2021 ◽  
Vol 17 (3) ◽  
pp. 155014772110063
Author(s):  
Jin Wang ◽  
Miao Zhang ◽  
Xiang Gu ◽  
Tiequan Wang ◽  
Jie Wang ◽  
...  
Keyword(s):  
Cloud Storage ◽  
Scheduling Algorithm ◽  
Trust Model ◽  
Trust Mechanism ◽  
Static State ◽  
Trust Value ◽  
Vehicular Cloud ◽  
Resource Schedule ◽  
Parking Lot ◽  
Storage Resource

This article focuses on how to effectively make full use of the storage resources in vehicular cloud. A trust mechanism called DI-Trust (Trust Model Based on Dynamic Incentive Mechanism) is proposed to schedule vehicular cloud storage resource. The discussion is under the scenario of the parking lot where vehicle nodes are in static state. The model can reasonably arrange the suitable scheduling algorithm according to the attribute characteristics of different kind of service requirements. The trust value of a vehicle is updated according to the model to fully utilize the vehicle idle storage resources. The simulation experiment results show that the model can work effectively. It can objectively evaluate trust values of vehicle nodes, and construct the effective resource schedule of the vehicular cloud storage resource to meet needs from users.

Multipath Routing Algorithm of Wireless Sensor Networks by Using Trust Model

2013 ◽  
Vol 325-326 ◽  
pp. 1032-1036
Author(s):  
Li Quan Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Multipath Routing ◽  
Trust Model ◽  
Secure Routing ◽  
Wireless Sensor ◽  
Trust Value

Multi-path routing is an important routing method for wireless sensor networks, which can ensure the reliability of data transmission, balance the consumption of nodes energy, meet the network service quality, etc. But it cant effectively resist the attacks from malicious node.This paper proposes a secure multipath routing algorithm based on trust model, which can effectively achieve the secure routing of wireless sensor network. The algorithm make trust evaluation for cluster head nodes, and use nodes trust value to measure the reliability of next hop node, then calculate the number of multipath that meet the expected secure requirement, so as to build the trust multipath routing. The simulation results show that the algorithm can effectively reduce the consumption of energy, prolong the lifetime of network, and ensure the routing security of wireless sensor network.

ReTrust: Attack-Resistant and Lightweight Trust Management for Medical Sensor Networks

2012 ◽  
Vol 16 (4) ◽  
pp. 623-632 ◽  
Author(s):  
Daojing He ◽  
Chun Chen ◽  
Sammy Chan ◽  
Jiajun Bu ◽  
Athanasios V. Vasilakos
Keyword(s):  
Sensor Networks ◽  
Trust Management ◽  
Medical Sensor Networks

Trust Model Based on Feedback Evaluation in Cloud Manufacturing Environment

2011 ◽  
Vol 308-310 ◽  
pp. 1740-1745 ◽  
Author(s):  
Xiao Lan Xie ◽  
Liang Liu ◽  
Ying Zhong Cao
Keyword(s):  
Cloud Manufacturing ◽  
Trust Model ◽  
Human Society ◽  
Manufacturing Environment ◽  
Trust Mechanism ◽  
Model Based ◽  
Service Behavior ◽  
Relationship Of ◽  
Dynamic Adaptability ◽  
Feedback Evaluation

Aiming at the existing trust issues under manufacturing environment. This paper proposes a trust model based on feedback evaluation, TMBFCM, from the characteristics of human of trust relationship of human society. The model proposed a set of evaluation indicators of cloud manufacturing services properties, introduced the dynamic trust mechanism for attenuation by time,established the service which cloud manufacturing services providers provided and the feedback evaluation and incentive mechanism given by the user of cloud manufacturing service, improved the dynamic adaptability of the model. The results show that, compared with the existing trust model, the evaluation results are closer to the true service behavior of cloud manufacturing services provider, it can resist all kinds of malicious attacks acts effectively, demonstrated good robustness and recognition.

scholarly journals TSCH and RPL Joining Time Model for Industrial Wireless Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3904
Author(s):  
Jose Vera-Pérez ◽  
Javier Silvestre-Blanes ◽  
Víctor Sempere-Payá
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Industry 4.0 ◽  
Wireless Sensor ◽  
Lossy Networks ◽  
Industrial Wireless Sensor Networks ◽  
Time Model ◽  
Industrial Internet ◽  
Channel Hopping ◽  
Definition Of

Wireless sensor networks (WSNs) play a key role in the ecosystem of the Industrial Internet of Things (IIoT) and the definition of today’s Industry 4.0. These WSNs have the ability to sensor large amounts of data, thanks to their easy scalability. WSNs allow the deployment of a large number of self-configuring nodes and the ability to automatically reorganize in case of any change in the topology. This huge sensorization capacity, together with its interoperability with IP-based networks, allows the systems of Industry 4.0 to be equipped with a powerful tool with which to digitalize a huge amount of variables in the different industrial processes. The IEEE 802.15.4e standard, together with the access mechanism to the Time Slotted Channel Hopping medium (TSCH) and the dynamic Routing Protocol for Low-Power and Lossy Networks (RPL), allow deployment of networks with the high levels of robustness and reliability necessary in industrial scenarios. However, these configurations have some disadvantages in the deployment and synchronization phases of the networks, since the time it takes to synchronize the nodes is penalized compared to other solutions in which access to the medium is done randomly and without channel hopping. This article proposes an analytical model to characterize the behavior of this type of network, based on TSCH and RPL during the phases of deployment along with synchronization and connection to the RPL network. Through this model, validated by simulation and real tests, it is possible to parameterize different configurations of a WSN network based on TSCH and RPL.

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