Biblio

Data value (DV) is a novel concept that is introduced as one of the Big Data phenomenon features. While continuing an investigation of the DV ontology and its relationship with the data quality (DQ) on the conceptual level, this paper researches possible applications and use of the DV in the practical design of security and privacy protection systems and tools. We present a novel approach to DV evaluation that maps DQ metrics into DV value. Developed methods allow DV and DQ use in a wide range of application domains. To demonstrate DQ and DV concept employment in real tasks we present two real-life scenarios. The first use case demonstrates the DV use in crowdsensing application design. It shows up how DV can be calculated by integrating various metrics characterizing data application functionality, accuracy, and security. The second one incorporates the privacy consideration into DV calculus by exploring the relationship between privacy, DQ, and DV in the defense against web-site fingerprinting in The Onion Router (TOR) networks. These examples demonstrate how our methods of the DV and DQ evaluation may be employed in the design of real systems with security and privacy consideration.