Provenance-based trustworthiness assessment in sensor networks

Abstract

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 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.

Privacy, Trust and Incentives in Participatory Sensing

“…This is due to the lack of access to the ground truth or supporting evidence in many situations or the subjective view about the desired quality. Reputation systems and trust assessment have been studied in wireless sensor network domain (e.g., Ganeriwal et al 2008;Lim et al 2010;Yu et al 2012). However, the unique characteristics of participatory sensing, such as human involvement, necessitates more adapted approaches.…”

A Novel Approach of Data Compression in Wireless Sensor Networks

“…Hyo Sang Lim, Yang Sae Moon, Elisa Bertino [2] proposed propose a cyclic framework that generates trust scores of data substance from folks of network nodes and trust scores of network nodes from those of data substance. Trust scores are gradually evolved in the cyclic framework.…”

“…A hateful adversary may introduce extra nodes in the network or negotiation existing ones. Therefore, assuring high data trustworthiness [2] [5] is vital for right decision-making.…”

Comparative Study of Evaluating the Trustworthiness of Data Based on Data Provenance

“…Sensor network: Large-scale sensor networks are being deployed in numerous application domains [13], such as environmental monitoring, cyber-physical infrastructure systems, and power grids. The purposes of these sensor networks are often for critical decision-making.…”