Provenance-based trustworthiness assessment in sensor networks

As sensor networks are being increasingly deployed in decisionmaking 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 provenanc...

• Type: Conference
• Year: 2010
• Where: DMSN
• Authors: Hyo-Sang Lim, Yang-Sae Moon, Elisa Bertino
• Keywords: Data Items, DMSN 2010, Sensor Networks, Trust Scores, Trustworthiness