Big Data fingerprinting information analytics for sustainability

Web-based device fingerprinting is the process of collecting security information through the browser to perform stateless device identification. Fingerprints may then be used to identify and track computing devices in the web. There are various reasons why device-related information may be needed. Among the others, this technique could help to efficiently analyze security information for sustainability. In this paper we introduce a fingerprinting analytics tool that discovers the most appropriate device fingerprints and their corresponding optimal implementations. The fingerprints selected in the result of the performed analysis are used to enrich and improve an open-source fingerprinting analytics tool Fingetprintjs2, daily consumed by hundreds of websites. As a result, the paper provides a noticeable progress in analytics of dozens of values of device fingerprints, and enhances analysis of fingerprints security information. (C) 2018 Elsevier B.V. All rights reserved.