ACTM: Anonymity Cluster Based Trust Management in Wireless Sensor Networks

2012 ◽  
pp. 75-80
Author(s):  
Shaila K. ◽  
Sivasankari H. ◽  
S. H. Manjula ◽  
Venugopal K.R. ◽  
S. S. Iyengar ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Trust Management ◽  
Wireless Sensor

Collaborative Lightweight Trust Management Scheme for Wireless Sensor Networks

2014 ◽  
Vol 80 (1) ◽  
pp. 117-140 ◽  
Author(s):  
X. Anita ◽  
M. A. Bhagyaveni ◽  
J. Martin Leo Manickam
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Trust Management ◽  
Wireless Sensor ◽  
Management Scheme ◽  
Trust Management Scheme

scholarly journals Robust and Accurate Trust Establishment Scheme for Wireless Sensor Network

2020 ◽  
Vol 12 (6) ◽  
pp. 14-29
Author(s):  
Audrey NANGUE ◽  
◽  
Elie FUTE TAGNE ◽  
Emmanuel TONYE
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Trust Management ◽  
Wireless Sensor ◽  
Management Systems ◽  
Trust Value ◽  
Direct Trust ◽  
Indirect Trust

The success of the mission assigned to a Wireless Sensor Network (WSN) depends heavily on the cooperation between the nodes of this network. Indeed, given the vulnerability of wireless sensor networks to attack, some entities may engage in malicious behavior aimed at undermining the proper functioning of the network. As a result, the selection of reliable nodes for task execution becomes a necessity for the network. To improve the cooperation and security of wireless sensor networks, the use of Trust Management Systems (TMS) is increasingly recommended due to their low resource consumption. The various existing trust management systems differ in their methods of estimating trust value. The existing ones are very rigid and not very accurate. In this paper, we propose a robust and accurate method (RATES) to compute direct and indirect trust between the network nodes. In RATES model, to compute the direct trust, we improve the Bayesian formula by applying the chaining of trust values, a local reward, a local penalty and a flexible global penalty based on the variation of successful interactions, failures and misbehaviors frequency. RATES thus manages to obtain a direct trust value that is accurate and representative of the node behavior in the network. In addition, we introduce the establishment of a simple confidence interval to filter out biased recommendations sent by malicious nodes to disrupt the estimation of a node's indirect trust. Mathematical theoretical analysis and evaluation of the simulation results show the best performance of our approach for detecting on-off attacks, bad-mouthing attacks and persistent attacks compared to the other existing approaches.

Privacy and Trust Management Schemes of Wireless Sensor Networks

2010 ◽  
pp. 290-309 ◽  
Author(s):  
Riaz Ahmed Shaikh ◽  
Brian J. dAuriol ◽  
Heejo Lee ◽  
Sungyoung Lee
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Trust Management ◽  
State Of The Art ◽  
The State ◽  
Wireless Sensor ◽  
Security Issues ◽  
Management Schemes ◽  
Art Research

Until recently, researchers have focused on the cryptographic-based security issues more intensively than the privacy and trust issues. However, without the incorporation of trust and privacy features, cryptographic-based security mechanisms are not capable of singlehandedly providing robustness, reliability and completeness in a security solution. In this chapter, we present generic and flexible taxonomies of privacy and trust. We also give detailed critical analyses of the state-of-the-art research, in the field of privacy and trust that is currently not available in the literature. This chapter also highlights the challenging issues and problems.

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