scholarly journals Opinion Based Trust Model for Delay Tolerant Networks using Fuzzy Logic

2021 ◽  
pp. 113-130
Author(s):  
Santhana Lakshmi M ◽  
Hemaanand M
Keyword(s):  
Fuzzy Logic ◽  
Secure Communication ◽  
Trust Model ◽  
Delay Tolerant Network ◽  
Long Distance ◽  
Trust Value ◽  
Proposed Model ◽  
Data Driven Approach ◽  
Correct Estimation ◽  
Delay Tolerant

Delay Tolerant Network is designed for long distance communication where end-to-end connectivity is not established due to frequent disconnections or delay. Long latency is encountered in this type of network. This work proposes a reliable model for secure communication in DTN that aims to achieve correct estimation of trust value between the nodes and to minimize the relay rate i.e cost involved in the message transmission with minimum delay based on the history of ownership of information. In this model, we have used data driven approach so that the malicious or selfish nodes are prevented from consuming more resources in the resource constrained network environment. This approach checks the trustworthiness of the source of information. This work adopts computing based approach to evaluate the performance of the proposed model using fuzzy logic. We conduct two comparative analyses in which one compares the four variants of the proposed model to find the best variant of the proposed model and other compares our trust model with the other existing trust models to prove the efficiency of our model over other routing protocols.

Determination of Relay Node Based on Fuzzy Logic in Delay Tolerant Network

2018 ◽  
Vol 104 (3) ◽  
pp. 1023-1036
Author(s):  
Ata Abbasi ◽  
Nahideh Derakhshanfard
Keyword(s):  
Fuzzy Logic ◽  
Relay Node ◽  
Delay Tolerant Network ◽  
Delay Tolerant

scholarly journals Evaluating E-Commerce Trust Using Fuzzy Logic

2009 ◽  
pp. 272-285
Author(s):  
Farid Meziane
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Reasoning ◽  
Trust Model ◽  
Trust Evaluation ◽  
Human Relationships ◽  
Online Transactions ◽  
Proposed Model ◽  
Evaluation Models ◽  
Trust Models ◽  
Fuzzy Trust

Trust is widely recognized as an essential factor for the continual development of business to customer electronic commerce (B2C EC). Many trust models have been developed, however, most are subjective and do not take into account the vagueness and ambiguity of EC trust and the customers’ intuitions and experience when conducting online transactions. In this article, we develop a fuzzy trust model using fuzzy reasoning to evaluate EC trust. This trust model is based on the information customers expect to find on an EC Website and is shown to increase customers trust towards online merchants. We argue that fuzzy logic is suitable for trust evaluation as it takes into account the uncertainties within ecommerce data and like human relationships; it is often expressed by linguistics terms rather then numerical values. The evaluation of the proposed model will be illustrated using two case studies and a comparison with two evaluation models was conducted to emphasise the importance of using fuzzy logic.

scholarly journals Assessment of the geocryological risks of the route of the linear part of the underground pipeline laid in permafrost soils

2019 ◽  
Vol 16 (4) ◽  
pp. 24-31
Author(s):  
T. A. Kapitonova ◽  
G. P. Struchkova ◽  
A. I. Levin
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Modeling ◽  
Linear Part ◽  
The State ◽  
Frozen Soil ◽  
Long Distance ◽  
Geotechnical Monitoring ◽  
Underground Pipelines ◽  
Proposed Model ◽  
Permafrost Soils

The problem of forecasting and assessing the condition of underground pipelines laid in the cryolithozone is among the most urgent, priority areas of fundamental and applied research, as the violation of their work aff ects the security of the region. The real danger for underground pipelines laid in the cryolithozone is the change in the state of frozen soil around the pipeline, which can lead to uneven subsidence or buckling of the soil and, as a result, to bending and damage to the pipeline. One of the methods of detection and identifi cation of dangerous geocryological processes is geotechnical monitoring, in which the state of the natural and technical system is estimated as a result of various surveys. Geotechnical monitoring materials are heterogeneous, dependent on many factors, interrelated data. As a result of the analysis of literature, statistical data on accidents and failures of similar pipelines, experts ‘ knowledge, the factors (concepts) obtained from the materials of geotechnical monitoring and aff ecting the dynamics of geocryological processes aff ecting the pipeline route were determined. Analysis of such weakly structured data is associated with many diffi culties and can be performed using cognitive modeling methods and technologies. In this paper we consider the evaluation of the probability of activation of geocryological processes in the pipeline section and ranking of pipeline sections according to the degree of danger of geocryological processes using fuzzy logic and geotechnical monitoring data. The proposed model is performed in Fuzzy Logic MATLAB using the Mamdani algorithm. The results show that the proposed model can be used as a tool for the analysis of geocryological risks in the problems of ranking sections of the long-distance trunk pipeline in terms of the degree of danger on permafrost soils.

A Trust Model Based on Evidence Theory for P2P Systems

2010 ◽  
Vol 20-23 ◽  
pp. 99-104 ◽  
Author(s):  
Li Dong Huang ◽  
Gang Xue ◽  
Xiang Lin He ◽  
Hong Lin Zhuang
Keyword(s):  
Evidence Theory ◽  
Trust Model ◽  
Combination Rule ◽  
Trust Value ◽  
Trust Relationship ◽  
P2p Systems ◽  
Model Based ◽  
Proposed Model ◽  
Trust Models ◽  
Set Up

Trust relationship between peers must to be established in P2P systems. But current trust models have some flaw in computing peer’s trust value, trust security and so on. This paper referred to the interpersonal social network, in which trust relationship between individuals are set up upon recommendations of other individuals, and proposed a recommendation trust model based on D-S evidence theory for P2P systems. The model deduces a peer’s local trust values from its transaction history, and then combines the peer’s local trust values by D-S combination rule and gets its global trust value finally. The experiment shows that, compared to the current trust model, the proposed model is more robust in security and more accurate in computing peer’s global trust value.

A Decision Support System for Trust Formalization

2011 ◽  
pp. 47-64
Author(s):  
Farid Meziane
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Reasoning ◽  
Trust Model ◽  
Trust Evaluation ◽  
Fuzzy Decision ◽  
Human Relationships ◽  
Online Transactions ◽  
Proposed Model ◽  
Trust Models ◽  
B2c Electronic Commerce

Trust is widely recognized as an essential factor for the continual development of business-to-customer (B2C) electronic commerce (EC). Many trust models have been developed, however, most are subjective and do not take into account the vagueness and ambiguity of EC trust and the customers’ intuitions and experience when conducting online transactions. In this chapter, we describe the development and implementation of a model using fuzzy reasoning to evaluate EC trust. This trust model is based on the information customers expect to find on an EC Web site and that is shown from many studies to increase customers trust towards online merchants. We argue that fuzzy logic is suitable for trust evaluation as it takes into account the uncertainties within EC data and like human relationships; it is often expressed by linguistic terms rather then numerical values. The evaluation of the proposed model is illustrated using four case studies and a comparison with two other models is conducted to emphasise the benefits of using fuzzy decision system.

Delay tolerant network routing resource allocation model on general k-anycast

2013 ◽  
Vol 32 (12) ◽  
pp. 3494-3498
Author(s):  
Yong-hui ZHANG ◽  
Zhang-xi LIN ◽  
Jian-hua LIU ◽  
Quan LIANG
Keyword(s):  
Resource Allocation ◽  
Network Routing ◽  
Delay Tolerant Network ◽  
Allocation Model ◽  
Resource Allocation Model ◽  
Delay Tolerant

scholarly journals A Spatiotemporal Convolutional Gated Recurrent Unit Network for Mean Wave Period Field Forecasting

2021 ◽  
Vol 9 (4) ◽  
pp. 383
Author(s):  
Ting Yu ◽  
Jichao Wang
Keyword(s):  
Lead Time ◽  
Wave Period ◽  
Data Driven ◽  
Lead Times ◽  
Proposed Model ◽  
Data Driven Approach ◽  
Mean Wave Period ◽  
Scattering Index ◽  
Gated Recurrent Unit ◽  
Methods Numerical

Mean wave period (MWP) is one of the key parameters affecting the design of marine facilities. Currently, there are two main methods, numerical and data-driven methods, for forecasting wave parameters, of which the latter are widely used. However, few studies have focused on MWP forecasting, and even fewer have investigated it with spatial and temporal information. In this study, correlations between ocean dynamic parameters are explored to obtain appropriate input features, significant wave height (SWH) and MWP. Subsequently, a data-driven approach, the convolution gated recurrent unit (Conv-GRU) model with spatiotemporal characteristics, is utilized to field forecast MWP with 1, 3, 6, 12, and 24-h lead times in the South China Sea. Six points at different locations and six consecutive moments at every 12-h intervals are selected to study the forecasting ability of the proposed model. The Conv-GRU model has a better performance than the single gated recurrent unit (GRU) model in terms of root mean square error (RMSE), the scattering index (SI), Bias, and the Pearson’s correlation coefficient (R). With the lead time increasing, the forecast effect shows a decreasing trend, specifically, the experiment displays a relatively smooth forecast curve and presents a great advantage in the short-term forecast of the MWP field in the Conv-GRU model, where the RMSE is 0.121 m for 1-h lead time.

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