2014
DOI: 10.1002/sec.969
|View full text |Cite
|
Sign up to set email alerts
|

A lightweight trust management based on Bayesian and Entropy for wireless sensor networks

Abstract: With the rapid development of wireless sensor networks, the issue of designing a reasonable trust management has attracted more and more research attention. Based on Bayesian and Entropy, this paper proposes a lightweight trust management for wireless sensor networks. First, the evaluated node's direct trust value is calculated by Bayesian and periodically updated according to the combination of effective history records and adaptive decay factor. We use effective history records rather than all the records to… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
37
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 54 publications
(39 citation statements)
references
References 19 publications
(32 reference statements)
2
37
0
Order By: Relevance
“…This paper refines our previous work [22]. In this proposal, we use both direct and indirect trust to obtain the overall trust and improve the algorithm to make it more adaptive and credible.…”
Section: International Journal Of Distributed Sensor Networksupporting
confidence: 58%
See 1 more Smart Citation
“…This paper refines our previous work [22]. In this proposal, we use both direct and indirect trust to obtain the overall trust and improve the algorithm to make it more adaptive and credible.…”
Section: International Journal Of Distributed Sensor Networksupporting
confidence: 58%
“…In [22], we use confidence level to decide whether the direct trust is credible enough. However, the accuracy of interval estimation and confidence level are two tradeoff factors, which means they cannot be increased together.…”
Section: Judgment Of Direct Trustmentioning
confidence: 99%
“…The goal of trust research is to provide a theoretical basis and direction for practical e-commerce development. Unfortunately, recently proposed computation approaches of trust and reputation are mainly focused on peer-to-peer networks, ad hoc networks, sensor networks, semantic Web, autonomic computing, grid computing, and multi-agent systems in pervasive computing environments [10,[15][16][17]. In addition, a trust mining method through feedback comments for e-commerce was proposed last year [9].…”
Section: Introductionmentioning
confidence: 99%
“…Trust in the wireless communication networks may be defined as degree of reliability of other nodes performing actions [7,8]. Trust between the nodes in maintained by recording the transactions of a node with other nodes in the network, either directly or indirectly.…”
Section: Introductionmentioning
confidence: 99%