DocumentCode :
2832361
Title :
Node behavior trust evaluation based on behavior evidence in WSNs
Author :
Tian Li-Qin ; Yang, Ni ; Lin Chuang
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
1
fYear :
2010
fDate :
21-24 May 2010
Abstract :
In trust evaluation of wireless sensor networks, behavior evidence is the fundamental basis of behavior evaluation. But at present, researchers almost directly use node behavior results or use a third party´s evaluation results to synthesize it, not study the original evidence of node behavior and ignore analysis of node behavior history, which limit the reliability, rationality and sharing of trust. Drawing on the characteristics of social trust and trust requirement in wireless sensor networks application, we first put forward basic criteria about evaluating node behavior trust, and then bring forward a kind of evaluation mechanism on node behavior trust based on sliding windows model. Through various operations on sliding window, we ensure evaluation principles of node behavior trust. Finally, we use three theorems to prove strategy´s effect, reliability and scalability. The results lay the quantity foundation for WSNs application and research based on behavior trust.
Keywords :
reliability; telecommunication security; wireless sensor networks; WSN; behavior evidence; behavior trust evaluation; rationality; reliability; scalability; sliding windows model; social trust; trust evaluation; trust requirement; wireless sensor networks; Attenuation; Authentication; Computer science; History; Law; Legal factors; Network synthesis; Reliability theory; Scalability; Wireless sensor networks; Evaluation Principles; Node Behavior Trust; Sliding Windows; Trust Evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
Type :
conf
DOI :
10.1109/ICFCC.2010.5497781
Filename :
5497781
Link To Document :
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