Paper Info
Title
Provenance-based trustworthiness assessment in sensor networks
Abstract
As sensor networks are being increasingly deployed in decision-making infrastructures such as battlefield monitoring systems and SCADA (Supervisory Control and Data Acquisition) systems, making decision makers aware of the trustworthiness of the collected data is a crucial. To address this problem, we propose a systematic method for assessing the trustworthiness of data items. Our approach uses the data provenance as well as their values in computing trust scores, that is, quantitative measures of trustworthiness. To obtain trust scores, we propose a cyclic framework which well reflects the inter-dependency property: the trust score of the data affects the trust score of the network nodes that created and manipulated the data, and vice-versa. The trust scores of data items are computed from their value similarity and provenance similarity. The value similarity comes from the principle that "the more similar values for the same event, the higher the trust scores". The provenance similarity is based on the principle that "the more different data provenances with similar values, the higher the trust scores". Experimental results show that our approach provides a practical solution for trustworthiness assessment in sensor networks.
Year
DOI
Venue
2010
10.1145/1858158.1858162
DMSN
Keywords
Field
DocType
provenance similarity,trustworthiness assessment,data item,trust score,data acquisition,similar value,different data provenance,provenance-based trustworthiness assessment,sensor network,supervisory control,value similarity,database management,decision maker,trustworthiness,scada
Data mining,Battlefield,Monitoring system,Computer science,Trustworthiness,Node (networking),SCADA,Wireless sensor network
Conference
Citations 
PageRank 
References 
56
2.02
7
Authors
3
Name
Order
Citations
PageRank
Hyo-Sang Lim119512.50
Yang-sae Moon248945.58
Elisa Bertino3140252128.50