Data integration in IoT ecosystem: Information linkage as a privacy threat

Internet of things (IoT) is changing the way data is collected and processed. The scale and variety of devices, communication networks, and protocols involved in data collection present critical challenges for data processing and analyses. Newer and more sophisticated methods for data integration and aggregation are required to enhance the value of real-time and historical IoT data. Moreover, the pervasive nature of IoT data presents a number of privacy threats because of intermediate data processing steps, including data acquisition, data aggregation, fusion and integration. User profiling and record linkage are well studied topics in online social networks (OSNs); however, these have become more critical in IoT applications where different systems share and integrate data and information. The proposed study aims to discuss the privacy threat of information linkage, technical and legal approaches to address it in a heterogeneous IoT ecosystem. The paper illustrates and explains information linkage during the process of data integration in a smart neighbourhood scenario. Through this work, the authors aim to enable a technical and legal framework to ensure stakeholders awareness and protection of subjects about privacy breaches due to information linkage.