Research Article
Security Perspectives for Collaborative Data Acquisition in the Internet of Things
@INPROCEEDINGS{10.1007/978-3-319-19743-2_38, author={Vangelis Gazis and Carlos Cordero and Emmanouil Vasilomanolakis and Panayotis Kikiras and Alex Wiesmaier}, title={Security Perspectives for Collaborative Data Acquisition in the Internet of Things}, proceedings={Internet of Things. IoT Infrastructures. First International Summit, IoT360 2014, Rome, Italy, October 27-28, 2014, Revised Selected Papers, Part II}, proceedings_a={IOT360}, year={2015}, month={7}, keywords={Internet of Things (IoT) Security challenges Data acquisition Data analytics}, doi={10.1007/978-3-319-19743-2_38} }- Vangelis Gazis
Carlos Cordero
Emmanouil Vasilomanolakis
Panayotis Kikiras
Alex Wiesmaier
Year: 2015
Security Perspectives for Collaborative Data Acquisition in the Internet of Things
IOT360
Springer
DOI: 10.1007/978-3-319-19743-2_38
Abstract
The Internet of Things (IoT) is an increasingly important topic, bringing together many different fields of computer science. Nevertheless, beside the advantages (IoT) has to offer, many challenges exist, not at least in terms of security and privacy. In addition, the large number of heterogeneous devices in (IoT) produces a vast amount of data, and therefore efficient mechanisms are required that are capable of handling the data, analyze them and produce meaningful results. In this paper, we discuss the challenges that have to be addressed, when data analytics are applied in the context of the (IoT). For this, we propose a data acquisition architecture, named , that focuses on bringing together heterogeneous to create distributed global data models. For each layer of the proposed architecture we discuss the upcoming challenges from the security perspective.
