A Generalized Framework for Multi-party Data Exchange for IoT Systems

Abstract

The discussion of data communications in Internet of Things (IoT) often concentrates on technical issues: physical signals, protocols, database architectures, stream processing, cloud storage. On the higher level data interoperability and common semantics are major problems. In this paper we want to discuss the issues related to data interchange between independent, collaborating parties. We will identify typical parties and ask what data do they need to perform their function (operation optimization, quality control, etc.) that have to be extracted from the raw data streams. We will also ask what data do they want to protect from other parties (trade secrets, minor technical problems). Especially if data are related to people a careful anonymization scheme has to implemented. Based on examples, we will propose and discuss a generalized framework for such data exchange.