Title
Quantifying Trust for Robust Fusion While Spectrum Sharing in Distributed DSA Networks.
Abstract
In this paper, we quantify the trustworthiness of secondary nodes that share spectrum sensing reports in a distributed dynamic spectrum access network. We propose a spatio-spectral anomaly monitoring technique that effectively captures anomalies in the spectrum sensing reports shared by individual cognitive radio nodes. Based on this, we propose an optimistic trust model for a system with a normal...
Year
DOI
Venue
2017
10.1109/TCCN.2017.2702173
IEEE Transactions on Cognitive Communications and Networking
Keywords
Field
DocType
Sensors,Collaboration,Computational modeling,Robustness,Monitoring,Dynamic spectrum access,Cognitive radio
Data mining,Attack model,Wireless,Computer science,Multinomial distribution,Computer network,Sensor fusion,Robustness (computer science),Dirichlet distribution,Access network,Cognitive radio
Journal
Volume
Issue
ISSN
3
2
2332-7731
Citations 
PageRank 
References 
1
0.37
13
Authors
3
Name
Order
Citations
PageRank
Shameek Bhattacharjee17610.35
Saptarshi Debroy2479.77
Mainak Chatterjee31562175.84