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Data Quality and Security Evaluation Tool for Nanoscale Sensors

Authors:
Leon Reznik
Sergey Lyshevski

Keywords: data quality; computer security evaluation; data accuracy; data fusion.

Abstract:
The paper proposes a novel approach to data and information management in multi-stream data collection systems with heterogeneous data sources. Data may be produced by novel nanoscale photonic, optoelectronic and electronic devices. Poor quality characteristics are expected. In the proposed approach, we use a set of data quality indicators with each data entity, and, develop the calculus that integrates various data quality (DQ) indicators ranging from traditional data accuracy metrics to network security and business performance measures. The integral indicator will calculate the DQ characteristics at the point of data use instead of conventional point of origin. The DQ metrics composition and calculus are discussed. The tools are developed to automate the metrics selection and calculus procedures for the DQ integration is presented. The user-friendly interactive capabilities are illustrated.

Pages: 118 to 123

Copyright: Copyright (c) IARIA, 2014

Publication date: November 16, 2014

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-61208-376-6

Location: Lisbon, Portugal

Dates: from November 16, 2014 to November 20, 2014