Trust Assessment on Streaming Data: a Real Time Predictive Approach

Tao Peng (1, 2, 3) , Sana Sellami (1, 2, 3) , Omar Boucelma (1, 2, 3)

1 AMU - Aix Marseille Université
2 LIS - Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon)
3 DIAMS - Data Integration, Analysis, and Management as Services

IoT data, that most often carry a temporal dimension, can be exploited from an analysis perspective or from a forecasting one. In this paper, we propose a predictive approach to address the problem of data trustworthiness in a data stream generated by a Smart Home application. We describe an online (Ensemble Regression) model that perform prediction in assigning a trust score to a target temporal value in real-time. Experiments conducted with real data demonstrate the performance of the model, while assessing data accuracy.

Mots clés: data trustworthiness; smart home; data stream

Domaines: Informatique [cs]

Tao Peng, Sana Sellami, Omar Boucelma. Trust Assessment on Streaming Data: a Real Time Predictive Approach. Advanced Analytics and Learning on Temporal Data - 5th {ECML} {PKDD} Workshop, {AALTD} 2020, Sep 2020, Ghent, Belgium. ⟨hal-03173412⟩